https://media.ccc.de/c/wikidatacon2019 This feed contains all events from wikidatacon2019 as mp4 see video outro Thu, 23 Jan 2025 18:43:33 -0000 https://static.media.ccc.de/media/events/wikidatacon/2019/WikidataCon_2019_logo_bg-white.png https://media.ccc.de/c/wikidatacon2019 https://media.ccc.de/v/wikidatacon2019-10-wikicite_panel This session will provide an overview of the WikiCite initiative to create an open bibliographic database in Wikidata, including the progress we have made so far, plans for future growth and challenges still to be overcome. The discussion will focus on how the community of volunteer contributors can coordinate their efforts to bring together the specialist subject knowledge and technical expertise necessary for WikiCite to be successful. Panel speakers: Elizabeth Seiver (WikiCite: A growing community curating citations on Wikidata) Simon Cobb (Improving data quality in the WikiCite) about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikicite_panel Sat, 26 Oct 2019 16:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-10-eng-Wikicite_panel_hd.mp4?1572175168 45d4d6f7-3ea5-5dc0-878f-7a586c35604c 2019-10-26T16:00:00+02:00 Elizabeth Seiver, Simon Cobb No wikidatacon2019, 10, 2019 This session will provide an overview of the WikiCite initiative to create an open bibliographic database in Wikidata, including the progress we have made so far, plans for future growth and challenges still to be overcome. The discussion will focus on how the community of volunteer contributors can coordinate their efforts to bring together the specialist subject knowledge and technical expertise necessary for WikiCite to be successful. Panel speakers: Elizabeth Seiver (WikiCite: A growing community curating citations on Wikidata) Simon Cobb (Improving data quality in the WikiCite) about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikicite_panel 00:25:54 https://media.ccc.de/v/wikidatacon2019-1109-teaching_sparql_as_a_foreign_language This talk reports on my experience of using the Wikidata Query Service as a platform to teach non-technical audiences about knowledge representation. This training treats SPARQL as a language to be learned from example, like any human language. Part of the approach is to use pen-and-paper graphs and role-play. Another part of the approach is to deliberately avoid a lot of the technical language that we use when talking about Semantic Web and Linked Open Data. The goal is just to give people confidence to write queries about topics that interest them, and generate visualisations that will be useful in their work. A side-effect is that attendees come to appreciate the awesome and unique power of Wikidata and its query service. Wikidata is ideally suited for this kind of training, with its enormous diversity of subjects, its many languages, its many query examples and especially its colourful, interactive query interface. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Teaching_SPARQL_as_a_Foreign_Language Sat, 26 Oct 2019 16:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1109-eng-Teaching_SPARQL_as_a_Foreign_Language_hd.mp4?1572175477 37b85603-20af-564a-af71-32f7392d58a2 2019-10-26T16:00:00+02:00 Martin Poulter No wikidatacon2019, 1109, 2019 This talk reports on my experience of using the Wikidata Query Service as a platform to teach non-technical audiences about knowledge representation. This training treats SPARQL as a language to be learned from example, like any human language. Part of the approach is to use pen-and-paper graphs and role-play. Another part of the approach is to deliberately avoid a lot of the technical language that we use when talking about Semantic Web and Linked Open Data. The goal is just to give people confidence to write queries about topics that interest them, and generate visualisations that will be useful in their work. A side-effect is that attendees come to appreciate the awesome and unique power of Wikidata and its query service. Wikidata is ideally suited for this kind of training, with its enormous diversity of subjects, its many languages, its many query examples and especially its colourful, interactive query interface. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Teaching_SPARQL_as_a_Foreign_Language 00:27:29 https://media.ccc.de/v/wikidatacon2019-1119-analysing_translation_of_wikidata_properties Wikidata properties may be limited in number, but they play a significant role in describing items by multilingual contributors. It's important to understand and view how the property labels and descriptions are translated and how new aliases are added in different languages. WDProp[1] gives a granular view on the translation path[2][3] of each property. However, it important to look at these translations at coarser level. Is there any regular translation pattern? How can such translation patterns help improve translation of newly created properties and may eventually help the translation of Wikidata items? ↑ https://tools.wmflabs.org/wdprop/ ↑ Towards Understanding and Improving Multilingual Collaborative Ontology Development in Wikidata, John Samuel, Wiki Workshop 2018 (held at The Web Conference 2018), Lyon, France, 24 April 2018 http://wikiworkshop.org/2018/papers/wikiworkshop2018_paper_12.pdf ↑ Analyzing and visualizing translation patterns of Wikidata properties. John Samuel, Experimental IR Meets Multilinguality, Multimodality, and Interaction (Vol. 11018, pp. 128–134). https://doi.org/10.1007/978-3-319-98932-7_12 about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Analysing_Translation_of_Wikidata_Properties Sat, 26 Oct 2019 16:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1119-eng-Analysing_Translation_of_Wikidata_Properties_hd.mp4?1572174847 b24f9f0e-0d68-5155-8351-cafd4187cc7f 2019-10-26T16:00:00+02:00 John Samuel No wikidatacon2019, 1119, 2019 Wikidata properties may be limited in number, but they play a significant role in describing items by multilingual contributors. It's important to understand and view how the property labels and descriptions are translated and how new aliases are added in different languages. WDProp[1] gives a granular view on the translation path[2][3] of each property. However, it important to look at these translations at coarser level. Is there any regular translation pattern? How can such translation patterns help improve translation of newly created properties and may eventually help the translation of Wikidata items? ↑ https://tools.wmflabs.org/wdprop/ ↑ Towards Understanding and Improving Multilingual Collaborative Ontology Development in Wikidata, John Samuel, Wiki Workshop 2018 (held at The Web Conference 2018), Lyon, France, 24 April 2018 http://wikiworkshop.org/2018/papers/wikiworkshop2018_paper_12.pdf ↑ Analyzing and visualizing translation patterns of Wikidata properties. John Samuel, Experimental IR Meets Multilinguality, Multimodality, and Interaction (Vol. 11018, pp. 128–134). https://doi.org/10.1007/978-3-319-98932-7_12 about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Analysing_Translation_of_Wikidata_Properties 00:25:00 https://media.ccc.de/v/wikidatacon2019-21-closing_session Reflecting on the two days of the conference, giving some extra practical information, saying goodbye :') about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Closing_session Sat, 26 Oct 2019 17:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-21-eng-Closing_session_hd.mp4?1572109418 ab317523-b5e2-5602-9333-4cc76e6a7194 2019-10-26T17:00:00+02:00 Léa Lacroix No wikidatacon2019, 21, 2019 Reflecting on the two days of the conference, giving some extra practical information, saying goodbye :') about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Closing_session 00:44:23 https://media.ccc.de/v/wikidatacon2019-1074-sum_of_all_video_games_2019_edition This Talk will give an overview of previous and ongoing work of the WkiProject Video games. We want to present some challenges which arise during the work with video game data (editions/versions, hardware, relation with other items, ...). Video games do not stand alone as objects, they refer to several other cultural artifacts, actors and subjects. This leads to several (sometimes complex) relationships with other Wikidata items or with external identifiers. Alignment activities (vocabularies, external identifiers) and potential pitfalls. Share different perspectives on video game data. Video games have become a subject of interest in research in recent years. Describe why the video game data is relevant for research projects and how it is actually used. What are the current approaches and limitations? Since there are already big databases for video games, what can Wikidata offer? about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Sum_of_All_video_games_%E2%88%92_2019_edition Sat, 26 Oct 2019 16:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1074-eng-Sum_of_All_video_games_-_2019_edition_hd.mp4?1572104889 6c07bee3-45ee-5863-8a49-9b64e4b51f11 2019-10-26T16:30:00+02:00 Jean-Frédéric Berthelot, Tracy Hoffmann, Envel Le Hir No wikidatacon2019, 1074, 2019 This Talk will give an overview of previous and ongoing work of the WkiProject Video games. We want to present some challenges which arise during the work with video game data (editions/versions, hardware, relation with other items, ...). Video games do not stand alone as objects, they refer to several other cultural artifacts, actors and subjects. This leads to several (sometimes complex) relationships with other Wikidata items or with external identifiers. Alignment activities (vocabularies, external identifiers) and potential pitfalls. Share different perspectives on video game data. Video games have become a subject of interest in research in recent years. Describe why the video game data is relevant for research projects and how it is actually used. What are the current approaches and limitations? Since there are already big databases for video games, what can Wikidata offer? about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Sum_of_All_video_games_%E2%88%92_2019_edition 00:25:54 https://media.ccc.de/v/wikidatacon2019-1144-cheminformatics_to_improve_wikidata_on_chemical_compounds Chemistry has long been an important domain-specific corner in the Wikipedia and Wikidata communities. The two are not tightly linked, though increasingly information from Wikidata shows up on Wikipedia ChemBoxes. We have been using Wikidata content in our research into human metabolism and metabolic diseases. This requires the information about metabolites in Wikidata to be accurate. We have been using cheminformatics to support our manual work to add missing information and compounds and curate existing knowledge. In this presentation it will be shown how the Chemistry Development Kit (Q2383032), Bioclipse (Q1769726), and QuickStatements (Q20084080) have been used in the past two years for these purposes (chem-bla-ics.blogspot.com/search?q=wikidata). We will demonstrate this infrastructure of Open Source tools, and how it can be used for using the Simplified molecular input line entry specification (Q466769) and International Chemical Identifier (Q203250) information to: link out to external databases (e.g. the EPA CompTox Chemistry Dashboard (Q26998510), MassBank (Q24088019), LIPID MAPS (Q20968889), etc); add physicochemical properties; add missing InChIs and chemical formulas using the SMILES; add new compounds based on a SMILES; and, detect incorrect or inconsistent information in Wikidata items on chemical compounds. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Cheminformatics_to_improve_Wikidata_on_chemical_compounds Sat, 26 Oct 2019 16:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1144-eng-Cheminformatics_to_improve_Wikidata_on_chemical_compounds_hd.mp4?1572105602 c7f9ae80-4dcb-5ef3-a071-8c4d11dd6a30 2019-10-26T16:30:00+02:00 Egon Willighagen No wikidatacon2019, 1144, 2019 Chemistry has long been an important domain-specific corner in the Wikipedia and Wikidata communities. The two are not tightly linked, though increasingly information from Wikidata shows up on Wikipedia ChemBoxes. We have been using Wikidata content in our research into human metabolism and metabolic diseases. This requires the information about metabolites in Wikidata to be accurate. We have been using cheminformatics to support our manual work to add missing information and compounds and curate existing knowledge. In this presentation it will be shown how the Chemistry Development Kit (Q2383032), Bioclipse (Q1769726), and QuickStatements (Q20084080) have been used in the past two years for these purposes (chem-bla-ics.blogspot.com/search?q=wikidata). We will demonstrate this infrastructure of Open Source tools, and how it can be used for using the Simplified molecular input line entry specification (Q466769) and International Chemical Identifier (Q203250) information to: link out to external databases (e.g. the EPA CompTox Chemistry Dashboard (Q26998510), MassBank (Q24088019), LIPID MAPS (Q20968889), etc); add physicochemical properties; add missing InChIs and chemical formulas using the SMILES; add new compounds based on a SMILES; and, detect incorrect or inconsistent information in Wikidata items on chemical compounds. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Cheminformatics_to_improve_Wikidata_on_chemical_compounds 00:23:21 https://media.ccc.de/v/wikidatacon2019-1037-all_the_world_s_glam_institutions_and_how_we_tried_to_find_them FindingGLAMs is a project by Wikimedia Sverige in collaboration with UNESCO and the Wikimedia Foundation, with the goal of collecting data on the world’s GLAM institutions and sharing it on Wikidata – a work that is sorely needed in many regions where such registers are out of date, incomplete or inexistent. At the time of WikidataCon we’ll be nearing the final stage of the project, which will give us a fitting opportunity to evaluate our work and share our experiences. We will describe how we went about collecting data from different countries, engaging the international community to help find and share datasets from their regions. In order to fill in the gaps in existing datasets, we crowdsourced additional data from GLAM professionals, using beginner-friendly tools to get more beginners to contribute. We will also highlight how we used Wikimania as a unique opportunity to gather GLAM experts from all around the world to come closer to our goal. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/All_the_world%E2%80%99s_GLAM_institutions_%E2%80%93_and_how_we_tried_to_find_them Sat, 26 Oct 2019 16:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1037-eng-All_the_worlds_GLAM_institutions_-_and_how_we_tried_to_find_them_hd.mp4?1572105340 99bba505-b74c-58ac-b3dd-74695ca1684b 2019-10-26T16:30:00+02:00 Alicia Fagerving No wikidatacon2019, 1037, 2019 FindingGLAMs is a project by Wikimedia Sverige in collaboration with UNESCO and the Wikimedia Foundation, with the goal of collecting data on the world’s GLAM institutions and sharing it on Wikidata – a work that is sorely needed in many regions where such registers are out of date, incomplete or inexistent. At the time of WikidataCon we’ll be nearing the final stage of the project, which will give us a fitting opportunity to evaluate our work and share our experiences. We will describe how we went about collecting data from different countries, engaging the international community to help find and share datasets from their regions. In order to fill in the gaps in existing datasets, we crowdsourced additional data from GLAM professionals, using beginner-friendly tools to get more beginners to contribute. We will also highlight how we used Wikimania as a unique opportunity to gather GLAM experts from all around the world to come closer to our goal. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/All_the_world%E2%80%99s_GLAM_institutions_%E2%80%93_and_how_we_tried_to_find_them 00:27:41 https://media.ccc.de/v/wikidatacon2019-12-infoboxes_panel Wikidata is now used in millions of infoboxes across the Wikimedia projects. This round table will bring together people that have been developing and implementing these infoboxes, in order to discuss their benefits and challenges, and future opportunities to improve the infoboxes and to use them across more languages and projects. The panel will be moderated by Andrew Lih, and will include: amadalvarez, who will show a collection of WD-powered infoboxes that work in cawiki since 2016 covering more than 80% of the whole cawiki. This upgraded version, made following Wiki Hackathon'18 requirement, is a multilingual solution easy to use and installation in any WP. We'll explain main features, how translation runs and reason to be used. Mike Peel, who will show the multilingual Wikidata Infobox, which covers all topics, and is used in nearly 2.5 million Commons categories, and talk about Wikidata infoboxes on the English Wikipedia Tpt Harmonia Amanda The session will include a short presentation from each panel member, followed by audience Q&A. You should attend if: You want to improve your WP infoboxes fast and easily with WD and other gadgets from the real solutions currently in use. You want to know the main steps to make a change point of view of editors community about introduce WD in your WP. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Infoboxes_panel Sat, 26 Oct 2019 14:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-12-eng-Infoboxes_panel_hd.mp4?1572104108 6ff57b14-2648-55f3-b4cc-c1ad7c20b405 2019-10-26T14:30:00+02:00 Andrew Lih, Amador Alvarez, Mike Peel, Tpt, Harmonia Amanda No wikidatacon2019, 12, 2019 Wikidata is now used in millions of infoboxes across the Wikimedia projects. This round table will bring together people that have been developing and implementing these infoboxes, in order to discuss their benefits and challenges, and future opportunities to improve the infoboxes and to use them across more languages and projects. The panel will be moderated by Andrew Lih, and will include: amadalvarez, who will show a collection of WD-powered infoboxes that work in cawiki since 2016 covering more than 80% of the whole cawiki. This upgraded version, made following Wiki Hackathon'18 requirement, is a multilingual solution easy to use and installation in any WP. We'll explain main features, how translation runs and reason to be used. Mike Peel, who will show the multilingual Wikidata Infobox, which covers all topics, and is used in nearly 2.5 million Commons categories, and talk about Wikidata infoboxes on the English Wikipedia Tpt Harmonia Amanda The session will include a short presentation from each panel member, followed by audience Q&A. You should attend if: You want to improve your WP infoboxes fast and easily with WD and other gadgets from the real solutions currently in use. You want to know the main steps to make a change point of view of editors community about introduce WD in your WP. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Infoboxes_panel 00:58:02 https://media.ccc.de/v/wikidatacon2019-1051-surviving_marriage_using_wikidata Marriage is difficult. So is building a community from scratch, specially in a context where all the other projects besides Wikipedia are not well known. How to begin? How to interact with libraries, archives, local government to release their data to Wikidata? How to organize events about Wikidata? How to not get a divorce while helping improve the best knowledge base there is? In this short presentation we will: Try to build an "Elevator pitch" for public institutions on why is a good thing to use Wikidata Describe the work of the local community (adding huge amounts of data to Wikidata) Getting people to know wikidata (how? and why?) and forming a community Organizing events about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Surviving_marriage_using_Wikidata_and_starting_a_local_community Sat, 26 Oct 2019 15:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1051-eng-Surviving_marriage_using_Wikidata_hd.mp4?1572102232 d2920d4f-97a7-5ba4-bd2d-aa2c7bb6c1fa 2019-10-26T15:00:00+02:00 Nicolás Giorgetti, Ivana Molena No wikidatacon2019, 1051, 2019 Marriage is difficult. So is building a community from scratch, specially in a context where all the other projects besides Wikipedia are not well known. How to begin? How to interact with libraries, archives, local government to release their data to Wikidata? How to organize events about Wikidata? How to not get a divorce while helping improve the best knowledge base there is? In this short presentation we will: Try to build an "Elevator pitch" for public institutions on why is a good thing to use Wikidata Describe the work of the local community (adding huge amounts of data to Wikidata) Getting people to know wikidata (how? and why?) and forming a community Organizing events about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Surviving_marriage_using_Wikidata_and_starting_a_local_community 00:30:25 https://media.ccc.de/v/wikidatacon2019-1120-wikidata_knowledge_base_completion_using_multilingual_wikipedia_fact_extraction In this session we’ll talk about the SLING project at Google. The aim of the project is to learn to read and understand Wikipedia articles in many languages in terms existing knowledge, i.e., specific entities and properties in Wikidata. A key part of the project is that we use the same representation for both knowledge and document annotation, namely frame semantics. The Sling parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic representation. The project is a work in progress and we have built a number of the components needed, like the SLING frame store (for building and manipulating frame semantic graph structures) and the Wiki flow pipeline which can take a raw dump of Wikidata and convert this into one big frame graph loadable into memory for fast graph traversal. The SLING Python API provides easy access to all this information. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_knowledge_base_completion_using_multilingual_Wikipedia_fact_extraction Sat, 26 Oct 2019 15:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1120-eng-Wikidata_knowledge_base_completion_using_multilingual_Wikipedia_fact_extraction_hd.mp4?1572101827 e077748b-daed-517b-b0bc-2970cac1f208 2019-10-26T15:00:00+02:00 Anders Sandholm, Michael Ringgaard No wikidatacon2019, 1120, 2019 In this session we’ll talk about the SLING project at Google. The aim of the project is to learn to read and understand Wikipedia articles in many languages in terms existing knowledge, i.e., specific entities and properties in Wikidata. A key part of the project is that we use the same representation for both knowledge and document annotation, namely frame semantics. The Sling parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic representation. The project is a work in progress and we have built a number of the components needed, like the SLING frame store (for building and manipulating frame semantic graph structures) and the Wiki flow pipeline which can take a raw dump of Wikidata and convert this into one big frame graph loadable into memory for fast graph traversal. The SLING Python API provides easy access to all this information. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_knowledge_base_completion_using_multilingual_Wikipedia_fact_extraction 00:30:01 https://media.ccc.de/v/wikidatacon2019-1101-barriers_to_using_wikidata_as_a_knowledge_base At first glance Wikidata appears to be an excellent source of general background knowledge. It is large, contains generally high-quality information, contains a large ontology, and can be freely used. However, it ends up being difficult to use Wikidata as is, or even with minor modifications, as a knowledge base of general-purpose information. First there are factual errors in Wikidata, such as the incorrect identification of items. These are unavoidable in a large information source, but reducing their number would be useful. There are also ontological errors, including confusion between instances and subclasses. Ontological errors cause severe problems when using Wikidata as a Knowledge base as one error generally affects much information. The ontology in Wikidata is very complex and not well organized, particularly in its upper levels, where there can be several related classes, resulting in different classes being used in different areas of Wikidata. There are also multiple related properties, again with different properties being used in different areas. To exploit Wikidata information in a knowledge base, consumers need to know which class or property is used in each area, limiting general-purpose use. There is no formal meaning for Wikidata. Consumers need to guess the intent of many classes and properties from very limited descriptions. This is particularly problematic for temporal qualifiers. A stronger formal theory would be the basis for better guidance to contributors on how to enter new information in Wikidata. The constraint mechanism does help to identify several kinds of errors. However, constraints are very weak as they only point out potential problems. Some mechanism to exclude constraint violations would be useful. Further, the poor ontology organization makes it difficult to write good constraints. Constraints that are prescriptive and that can actually affect Wikidata would aid in its use as knowledge. But what is most needed to make Wikidata more useful as general information is a tightening of the ontological modelling in Wikidata, including at least a much better description of its major classes and properties and how information combines in it. Then a formal theory for Wikidata data could be developed, permitting strong tools that can find and fix errors in Wikidata and tie together information from different parts of Wikidata. Strong tools can also discover information implicit in Wikidata and make this information available for use. Hopefully, a group of Wikidata contributors will form to produce better ontological modelling in Wikidata and produce a formal theory for Wikidata. To help, the Wikidata community could set up mechanisms to encourage fixing problems in Wikidata information over just adding new information. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Barriers_to_Using_Wikidata_as_a_Knowledge_Base Sat, 26 Oct 2019 14:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1101-eng-Barriers_to_Using_Wikidata_as_a_Knowledge_Base_hd.mp4?1572100398 acf85748-287f-52fb-b9c1-2561143c3957 2019-10-26T14:30:00+02:00 Peter F. Patel-Schneider No wikidatacon2019, 1101, 2019 At first glance Wikidata appears to be an excellent source of general background knowledge. It is large, contains generally high-quality information, contains a large ontology, and can be freely used. However, it ends up being difficult to use Wikidata as is, or even with minor modifications, as a knowledge base of general-purpose information. First there are factual errors in Wikidata, such as the incorrect identification of items. These are unavoidable in a large information source, but reducing their number would be useful. There are also ontological errors, including confusion between instances and subclasses. Ontological errors cause severe problems when using Wikidata as a Knowledge base as one error generally affects much information. The ontology in Wikidata is very complex and not well organized, particularly in its upper levels, where there can be several related classes, resulting in different classes being used in different areas of Wikidata. There are also multiple related properties, again with different properties being used in different areas. To exploit Wikidata information in a knowledge base, consumers need to know which class or property is used in each area, limiting general-purpose use. There is no formal meaning for Wikidata. Consumers need to guess the intent of many classes and properties from very limited descriptions. This is particularly problematic for temporal qualifiers. A stronger formal theory would be the basis for better guidance to contributors on how to enter new information in Wikidata. The constraint mechanism does help to identify several kinds of errors. However, constraints are very weak as they only point out potential problems. Some mechanism to exclude constraint violations would be useful. Further, the poor ontology organization makes it difficult to write good constraints. Constraints that are prescriptive and that can actually affect Wikidata would aid in its use as knowledge. But what is most needed to make Wikidata more useful as general information is a tightening of the ontological modelling in Wikidata, including at least a much better description of its major classes and properties and how information combines in it. Then a formal theory for Wikidata data could be developed, permitting strong tools that can find and fix errors in Wikidata and tie together information from different parts of Wikidata. Strong tools can also discover information implicit in Wikidata and make this information available for use. Hopefully, a group of Wikidata contributors will form to produce better ontological modelling in Wikidata and produce a formal theory for Wikidata. To help, the Wikidata community could set up mechanisms to encourage fixing problems in Wikidata information over just adding new information. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Barriers_to_Using_Wikidata_as_a_Knowledge_Base 00:25:57 https://media.ccc.de/v/wikidatacon2019-1091-wikidata_statistics_what_where_and_how_ We will present and discuss various sources and analytical tools to access, analyze, and visualize the Wikidata related statistics. We will introduce the difference between (a) Wikidata statistics and (b) the statistics based on Wikidata re-use across the Wikimedia projects, while illustrating the contexts within each makes more sense. A special focus will be placed on the Wikidata Concepts Monitor (WDCM) system (and its derivatives) which enable our users and editors to better understand the distribution of content in Wikimedia projects. We will also touch upon the Wikidata Languages Landscape project, a set of dashboards that analyze the representation and use of languages in Wikidata. Although no formal background in statistics or programming will be necessary to follow the discussion, we will use R in the course of the session to illustrate where, what, and how can be done with our numbers. Finally, we discuss the possibilities to act upon the introduced statistics and indicators to potentially improve the existing and establish new connections among different Wikimedia communities. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_Statistics:_What,_Where,_and_How%3F Sat, 26 Oct 2019 14:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1091-eng-Wikidata_Statistics_What_Where_and_How_hd.mp4?1572099887 cc72d2c9-d79e-50a2-8684-ef272bf4b47f 2019-10-26T14:30:00+02:00 Goran S. Milovanović No wikidatacon2019, 1091, 2019 We will present and discuss various sources and analytical tools to access, analyze, and visualize the Wikidata related statistics. We will introduce the difference between (a) Wikidata statistics and (b) the statistics based on Wikidata re-use across the Wikimedia projects, while illustrating the contexts within each makes more sense. A special focus will be placed on the Wikidata Concepts Monitor (WDCM) system (and its derivatives) which enable our users and editors to better understand the distribution of content in Wikimedia projects. We will also touch upon the Wikidata Languages Landscape project, a set of dashboards that analyze the representation and use of languages in Wikidata. Although no formal background in statistics or programming will be necessary to follow the discussion, we will use R in the course of the session to illustrate where, what, and how can be done with our numbers. Finally, we discuss the possibilities to act upon the introduced statistics and indicators to potentially improve the existing and establish new connections among different Wikimedia communities. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_Statistics:_What,_Where,_and_How%3F 00:25:26 https://media.ccc.de/v/wikidatacon2019-13-openstreetmap_and_wikidata OpenStreetMap (OSM) and Wikidata are two of the largest collaborative open data projects that contain structured data for real-world places and things. While OSM and Wikipedia are often compared with each other (for example, people say that "OSM is like Wikipedia for maps"), OSM and Wikidata are actually even more similar. Wikidata has items, properties, statements, values, and qualifiers, while OSM has similar things like nodes, ways, relations, tags, keys, and values. Furthermore, the only thing that is better than open data is linked open data and both OSM and Wikidata have tags and properties that enable linking real-world objects found in both datasets with each other, thus making both datasets more useful for data consumers. This presentation will give a short introduction to OpenStreetMap and its data model, and explain how OSM and Wikidata can link to each other and the benefits and uses of such cross-linking. In addition, we will demonstrate the use of an online machine-assisted matching tool that OSM mappers can use to add wikidata=* tags to OSM objects that correspond to Wikidata items about the same real-world place or thing. The tool's limitations will also be explained. Linking the two projects isn't without controversy: there is some distrust within the OSM community with linking to or relying on Wikidata and they use different licenses as well, which raises questions about what information from one project can be copied to the other. (OSM has a policy that Wikidata coordinates cannot be imported into OSM despite Wikidata's CC0 license.) This issue, among other problems that hinder further collaborations between the two communities, will be touched upon in the presentation. Related sessions in other recent conferences: Linking OpenStreetMap and Wikidata by Edward during Wikimania 2019 in Stockholm OpenStreetMap and Wikidata: Awesome Together by Edward and Eugene during State of the Map 2019 in Heidelberg about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/OpenStreetMap_and_Wikidata Sat, 26 Oct 2019 12:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-13-eng-OpenStreetMap_and_Wikidata_hd.mp4?1572092771 b70ae8ac-c935-5d77-acd9-41737f53552b 2019-10-26T12:30:00+02:00 Edward Betts, Eugene Alvin Villar No wikidatacon2019, 13, 2019 OpenStreetMap (OSM) and Wikidata are two of the largest collaborative open data projects that contain structured data for real-world places and things. While OSM and Wikipedia are often compared with each other (for example, people say that "OSM is like Wikipedia for maps"), OSM and Wikidata are actually even more similar. Wikidata has items, properties, statements, values, and qualifiers, while OSM has similar things like nodes, ways, relations, tags, keys, and values. Furthermore, the only thing that is better than open data is linked open data and both OSM and Wikidata have tags and properties that enable linking real-world objects found in both datasets with each other, thus making both datasets more useful for data consumers. This presentation will give a short introduction to OpenStreetMap and its data model, and explain how OSM and Wikidata can link to each other and the benefits and uses of such cross-linking. In addition, we will demonstrate the use of an online machine-assisted matching tool that OSM mappers can use to add wikidata=* tags to OSM objects that correspond to Wikidata items about the same real-world place or thing. The tool's limitations will also be explained. Linking the two projects isn't without controversy: there is some distrust within the OSM community with linking to or relying on Wikidata and they use different licenses as well, which raises questions about what information from one project can be copied to the other. (OSM has a policy that Wikidata coordinates cannot be imported into OSM despite Wikidata's CC0 license.) This issue, among other problems that hinder further collaborations between the two communities, will be touched upon in the presentation. Related sessions in other recent conferences: Linking OpenStreetMap and Wikidata by Edward during Wikimania 2019 in Stockholm OpenStreetMap and Wikidata: Awesome Together by Edward and Eugene during State of the Map 2019 in Heidelberg about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/OpenStreetMap_and_Wikidata 00:28:26 https://media.ccc.de/v/wikidatacon2019-11-open_data_panel In this session we want to present some current developments in the area of Open Government Data with regards to Open Data. We want to cover some topics that are currently of interest from the community's side of the Open Data movements as well as for groups that work with and on Open Governmental Data. You will hear about open political data, a Wikidata card game, official tables of street names, challenges for municipalities which would like to add their data to Wikidata and more. Knut Hühne is a developer from Berlin. He works on several projects with Open Data and Wikidata. Alice Wiegand is project lead for Open Data Düsseldorf. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Open_data_panel Sat, 26 Oct 2019 12:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-11-eng-Open_data_panel_hd.mp4?1572092436 9283e2bd-6c34-5ca0-b481-820f1871fe55 2019-10-26T12:30:00+02:00 Alice Wiegand, Knut Hühne No wikidatacon2019, 11, 2019 In this session we want to present some current developments in the area of Open Government Data with regards to Open Data. We want to cover some topics that are currently of interest from the community's side of the Open Data movements as well as for groups that work with and on Open Governmental Data. You will hear about open political data, a Wikidata card game, official tables of street names, challenges for municipalities which would like to add their data to Wikidata and more. Knut Hühne is a developer from Berlin. He works on several projects with Open Data and Wikidata. Alice Wiegand is project lead for Open Data Düsseldorf. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Open_data_panel 00:25:26 https://media.ccc.de/v/wikidatacon2019-1106-structuring_glam_wiki_initiatives_with_wikidata The talk will cover how Wikidata may be associated to increasing efficiency and effectiveness of processes and workflows in GLAM-Wiki initiatives. Efficiency refers to lowering necessary resources (time, money, stress) to contribute. Effectiveness refers to increasing the social impact content contributed has. How Wikidata can be introduced in the streamline going from setting a GLAM-Wiki partnership to reverberating contributed content in Wikimedia projects will be shown. Examples from Brazilian GLAM-Wiki initiatives will be presented. This presentation is the result of a collaborative endeavor, with the generous participation of: Ederporto, EricaAzzellini, GiFontenelle and Joalpe. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Structuring_GLAM-Wiki_initiatives_with_Wikidata Sat, 26 Oct 2019 12:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1106-eng-Structuring_GLAM-Wiki_initiatives_with_Wikidata_hd.mp4?1572093109 7be0e196-3b07-51c1-8c7c-3123fd2c707d 2019-10-26T12:30:00+02:00 João Alexandre Peschanski No wikidatacon2019, 1106, 2019 The talk will cover how Wikidata may be associated to increasing efficiency and effectiveness of processes and workflows in GLAM-Wiki initiatives. Efficiency refers to lowering necessary resources (time, money, stress) to contribute. Effectiveness refers to increasing the social impact content contributed has. How Wikidata can be introduced in the streamline going from setting a GLAM-Wiki partnership to reverberating contributed content in Wikimedia projects will be shown. Examples from Brazilian GLAM-Wiki initiatives will be presented. This presentation is the result of a collaborative endeavor, with the generous participation of: Ederporto, EricaAzzellini, GiFontenelle and Joalpe. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Structuring_GLAM-Wiki_initiatives_with_Wikidata 00:24:30 https://media.ccc.de/v/wikidatacon2019-9-data_quality_panel Each of the panel members gets 8 minutes for presenting the proposed topic. After all the talks, we have a little panel discussion with all presenters of about 15 minutes. During the panel discussion, the audience is invited to ask questions, share ideas, or connect to other initiatives. Panel members: Lucas Werkmeister (Overview of Data Quality Tools on Wikidata) Abstract: To fight vandalism, mistakes, and other data quality issues on Wikidata, a variety of tools are available. This section gives a brief overview of what is already available to users, as well as an outlook of what’s coming in the future. Jose Emilio Labra Gayo (University of Oviedo (Spain), Username: Jelabra). (Schema visualization and authoring tools) Abstract: Historically, data sharing requires data modelling, which implies data structures consensus and dissemination. The UML community has addressed this graphically with languages that rely principally in graphical representations and only secondarily on exchange formats. It focuses on a conceptual model, leaving the data binding as a matter separate from modelling. When modelling with ShEx schemas, we get a physical representation for free. This eliminates an opaque layer from the modelling pipeline, one which trivially introduced interop problems. Wikidata users need the simplest tools possible in order to create coherent and complementary schemas and disseminate these schemas to a non-expert (at least vis-a-vis schema languages) community of contributors and users. This talk focuses on existing tools for expressing graph data, in particular, graphical tools which steepen the learning curve of the user to the extent that they aren’t even aware that they are learning a new system. We will also explore how these tools can be integrated in Wikidata toolchain both for visualizing and authoring schemas. Cristina Sarasua (University of Zurich (Switzerland), Username:Criscod). Topics to be discussed: Link Quality, data quality dimensions in existing tools. Abstract: Building on prior experiences from our workshop, we would like to discuss with the community existing challenges and opportunities in the field of data quality monitoring and assurance by focusing on Wikidata’s unique characteristics: its central role in a network of knowledge bases and other peer production projects (like Wikipedia), its ability to host plural statements and illustrate the Web’s misinformation, its multilinguality, its community of humans and machines, as well as its dynamicity. Our discussion is guided by the following questions: What are suitable data quality dimensions and measures in the context of Wikidata that are not yet (fully) addressed? What are needed methods and tools for Wikidata’s editors to edit, maintain and consume data? Andra Waagmeester (Using automation pipelines to maintain quality of Wikidata content after successful integration) Abstract: In the Gene Wiki project we maintain a family of bots to synchronise public scientific databases in the life sciences on Wikidata. Using the Wikidata integrator, which is a python pipeline developed for Wikidata data ingestion, these bots continuously monitor for changes in the primary sources of the data added to Wikidata and log these changes. New updates are processed and where possible changelogs are reported back to the curator teams of the primary sources. We use an automation server called jenkins to run and maintain these processes and would like to present this sollution. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Data_quality_panel Sat, 26 Oct 2019 11:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-9-eng-Data_quality_panel_hd.mp4?1572094985 fa0b7043-5870-5bc4-955f-ca89824b1b5b 2019-10-26T11:30:00+02:00 Claudia Müller-Birn, Lucas Werkmeister, Jose Emilio Labra Gayo, Cristina Sarasua, Andra Waagmeester No wikidatacon2019, 9, 2019 Each of the panel members gets 8 minutes for presenting the proposed topic. After all the talks, we have a little panel discussion with all presenters of about 15 minutes. During the panel discussion, the audience is invited to ask questions, share ideas, or connect to other initiatives. Panel members: Lucas Werkmeister (Overview of Data Quality Tools on Wikidata) Abstract: To fight vandalism, mistakes, and other data quality issues on Wikidata, a variety of tools are available. This section gives a brief overview of what is already available to users, as well as an outlook of what’s coming in the future. Jose Emilio Labra Gayo (University of Oviedo (Spain), Username: Jelabra). (Schema visualization and authoring tools) Abstract: Historically, data sharing requires data modelling, which implies data structures consensus and dissemination. The UML community has addressed this graphically with languages that rely principally in graphical representations and only secondarily on exchange formats. It focuses on a conceptual model, leaving the data binding as a matter separate from modelling. When modelling with ShEx schemas, we get a physical representation for free. This eliminates an opaque layer from the modelling pipeline, one which trivially introduced interop problems. Wikidata users need the simplest tools possible in order to create coherent and complementary schemas and disseminate these schemas to a non-expert (at least vis-a-vis schema languages) community of contributors and users. This talk focuses on existing tools for expressing graph data, in particular, graphical tools which steepen the learning curve of the user to the extent that they aren’t even aware that they are learning a new system. We will also explore how these tools can be integrated in Wikidata toolchain both for visualizing and authoring schemas. Cristina Sarasua (University of Zurich (Switzerland), Username:Criscod). Topics to be discussed: Link Quality, data quality dimensions in existing tools. Abstract: Building on prior experiences from our workshop, we would like to discuss with the community existing challenges and opportunities in the field of data quality monitoring and assurance by focusing on Wikidata’s unique characteristics: its central role in a network of knowledge bases and other peer production projects (like Wikipedia), its ability to host plural statements and illustrate the Web’s misinformation, its multilinguality, its community of humans and machines, as well as its dynamicity. Our discussion is guided by the following questions: What are suitable data quality dimensions and measures in the context of Wikidata that are not yet (fully) addressed? What are needed methods and tools for Wikidata’s editors to edit, maintain and consume data? Andra Waagmeester (Using automation pipelines to maintain quality of Wikidata content after successful integration) Abstract: In the Gene Wiki project we maintain a family of bots to synchronise public scientific databases in the life sciences on Wikidata. Using the Wikidata integrator, which is a python pipeline developed for Wikidata data ingestion, these bots continuously monitor for changes in the primary sources of the data added to Wikidata and log these changes. New updates are processed and where possible changelogs are reported back to the curator teams of the primary sources. We use an automation server called jenkins to run and maintain these processes and would like to present this sollution. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Data_quality_panel 00:57:10 https://media.ccc.de/v/wikidatacon2019-1035-data_import_process_overview In order to properly receive donations to Wikidata the new data must be imported in as controlled and systematic manner as possible. It is important to track imports and ensure that there is as little duplication of work as possible. With these issues in mind, John Cummings and Navino Evans created the Wikidata Dataset Import pages and began using them for tracking their work importing data from UN agencies. The goal of this is to not only to track current data imports, but also be a centralised location for documentation and discussions of mass data imports past, present and future. In this session we will offer an overview of this system as it stands today, some of the imports that we have already done and the issues we face before the full potential can be realised. What will attendees take away from this session? Attendees will come away with a better understanding of the process of importing donated data to Wikidata, where to get started with their own data imports and ways in which they could help improve the process for others. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Overview_of_the_data_donation_process Sat, 26 Oct 2019 11:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1035-eng-Data_import_process_overview_hd.mp4?1572097244 493d5296-35a8-5409-8661-1baff1aada0d 2019-10-26T11:30:00+02:00 Navino Evans, John Cummings, Sean McBirnie, Ana Brandusescu No wikidatacon2019, 1035, 2019 In order to properly receive donations to Wikidata the new data must be imported in as controlled and systematic manner as possible. It is important to track imports and ensure that there is as little duplication of work as possible. With these issues in mind, John Cummings and Navino Evans created the Wikidata Dataset Import pages and began using them for tracking their work importing data from UN agencies. The goal of this is to not only to track current data imports, but also be a centralised location for documentation and discussions of mass data imports past, present and future. In this session we will offer an overview of this system as it stands today, some of the imports that we have already done and the issues we face before the full potential can be realised. What will attendees take away from this session? Attendees will come away with a better understanding of the process of importing donated data to Wikidata, where to get started with their own data imports and ways in which they could help improve the process for others. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Overview_of_the_data_donation_process 00:54:29 https://media.ccc.de/v/wikidatacon2019-7-education_panel Wikidata will be turning 7, yet it is still fairly young. We are merely beginning to explore its potential as a teaching and learning platform in Academia. Wikidata has the potential to not only help its users find precise and meaningful data, or explore various topics for learning purposes; but also help educate the general public about how to interpret the data they encounter, recognize knowledge gaps, sharpen the critical thinking and their understanding of how to verify data correctness or completeness. These capacities are especially important in an era where Siri, Alexa and other AI agents use Wikidata and users take their answers at face value, and represent some examples of the capacities that fall under "Data Literacy" that will be discussed in the session. This panel will focus on featuring various examples of experimenting with Wikidata in educational settings around the world, focusing on different ways of engaging students, discussing known best & worst practices and brainstorming about new and exciting ways to better incorporate WD into Academia. To achieve this goal, we have assembled a group of Wikidatans who have been experimenting with WD in Educational settings. Among the examples that will be discuss are: The first for-credit course in the world to feature Wikidata at Tel Aviv University, Israel (Shani) Wikidata Labs and Wikidata in journalism school, University of Sao Paulo, Brazil (Joao) Implementing data literacy in the curriculum and the example of the "Witchfinder General" at the University of Edinburgh (Ewan) How to use wikidata as a tool in STEM at the Habitat School, Ajman,Dubai, United Arab Emirates (Akbar Ali) Using Wikidata to Teach Semantic Modelling to Master's degree level class at the HTW Berlin in Germany (Debora) The panel will include 3 main parts: Introduction and meeting the panelists (3 min each = ~ 20 minutes) Panel discussion about questions relating issues such as format, challenges and assessment Q & A with the audience (10 min) If you are using Wikidata as a teaching or learning tool in an educational setting, or are interested in doing so, this session is for you! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Education_panel Sat, 26 Oct 2019 11:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-7-eng-Education_panel_hd.mp4?1572099517 bc1b47a3-b26c-5b44-ac76-f3756e1b4258 2019-10-26T11:30:00+02:00 Shani Evenstein, João Alexandre Peschanski, Ewan McAndrew, Akbar Ali, Debora Weber-Wulff No wikidatacon2019, 7, 2019 Wikidata will be turning 7, yet it is still fairly young. We are merely beginning to explore its potential as a teaching and learning platform in Academia. Wikidata has the potential to not only help its users find precise and meaningful data, or explore various topics for learning purposes; but also help educate the general public about how to interpret the data they encounter, recognize knowledge gaps, sharpen the critical thinking and their understanding of how to verify data correctness or completeness. These capacities are especially important in an era where Siri, Alexa and other AI agents use Wikidata and users take their answers at face value, and represent some examples of the capacities that fall under "Data Literacy" that will be discussed in the session. This panel will focus on featuring various examples of experimenting with Wikidata in educational settings around the world, focusing on different ways of engaging students, discussing known best & worst practices and brainstorming about new and exciting ways to better incorporate WD into Academia. To achieve this goal, we have assembled a group of Wikidatans who have been experimenting with WD in Educational settings. Among the examples that will be discuss are: The first for-credit course in the world to feature Wikidata at Tel Aviv University, Israel (Shani) Wikidata Labs and Wikidata in journalism school, University of Sao Paulo, Brazil (Joao) Implementing data literacy in the curriculum and the example of the "Witchfinder General" at the University of Edinburgh (Ewan) How to use wikidata as a tool in STEM at the Habitat School, Ajman,Dubai, United Arab Emirates (Akbar Ali) Using Wikidata to Teach Semantic Modelling to Master's degree level class at the HTW Berlin in Germany (Debora) The panel will include 3 main parts: Introduction and meeting the panelists (3 min each = ~ 20 minutes) Panel discussion about questions relating issues such as format, challenges and assessment Q & A with the audience (10 min) If you are using Wikidata as a teaching or learning tool in an educational setting, or are interested in doing so, this session is for you! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Education_panel 00:55:56 https://media.ccc.de/v/wikidatacon2019-16-birthday_celebration_presents_demo As every year since 2012, we're celebrating Wikidata's anniversary. People usually bring presents to the community, that can be tools, new websites or piece of software, but also various projects, drawings... This is always a great moment, full of appreciation for the community and great to discover more about the Wikidata-related tools that people use! During this demo session, the WikidataCon participants who want to present their gift will have 2min to get on stage and show their work to others. If you want to present a birthday present, please read carefully what follows! The demos will be very short, 2min per present, in order to allow everyone to participate To save time, we will show everything from the same computer. No local command line prompt, sorry. For a smooth demo, you can consider making a video out of your screen. For the same reason, your present must be listed on this page with a link to access the demo. Of course, for the sake of the surprise, you can add it last minute, but please make sure that there is a link to click on before you go on stage! Last but not least: although the birthday presents contain a lot of tools, new features, and other programmed sweets, you are very welcome to present something of another nature: a drawing, an object, a song... anything that celebrates Wikidata and its community :) about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Birthday_presents_demo Fri, 25 Oct 2019 20:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-16-eng-Birthday_celebration_presents_demo_hd.mp4?1572073204 974223b8-574a-5367-902a-a32cca2f1e89 2019-10-25T20:00:00+02:00 Lydia Pintscher (WMDE) No wikidatacon2019, 16, 2019 As every year since 2012, we're celebrating Wikidata's anniversary. People usually bring presents to the community, that can be tools, new websites or piece of software, but also various projects, drawings... This is always a great moment, full of appreciation for the community and great to discover more about the Wikidata-related tools that people use! During this demo session, the WikidataCon participants who want to present their gift will have 2min to get on stage and show their work to others. If you want to present a birthday present, please read carefully what follows! The demos will be very short, 2min per present, in order to allow everyone to participate To save time, we will show everything from the same computer. No local command line prompt, sorry. For a smooth demo, you can consider making a video out of your screen. For the same reason, your present must be listed on this page with a link to access the demo. Of course, for the sake of the surprise, you can add it last minute, but please make sure that there is a link to click on before you go on stage! Last but not least: although the birthday presents contain a lot of tools, new features, and other programmed sweets, you are very welcome to present something of another nature: a drawing, an object, a song... anything that celebrates Wikidata and its community :) about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Birthday_presents_demo 00:42:01 https://media.ccc.de/v/wikidatacon2019-17-wikidatacon_award_ceremony For the first time in 2019, we will present the WikidataCon Award, highlighting some cool projects nominated by the community. The Wikidata & Wikibase ecosystem is like a galaxy of great projects, inspiring ideas, growing content and incredible wonderful people. It’s time to celebrate this! Join us for the first ever WikidataCon Award ceremony tonight! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/WikidataCon_awards_ceremony Fri, 25 Oct 2019 21:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-17-eng-WikidataCon_Award_Ceremony_hd.mp4?1572041541 32db673d-3df7-5714-8a0c-addb8fe4e7ac 2019-10-25T21:00:00+02:00 Birgit Müller, Wittylama No wikidatacon2019, 17, 2019 For the first time in 2019, we will present the WikidataCon Award, highlighting some cool projects nominated by the community. The Wikidata & Wikibase ecosystem is like a galaxy of great projects, inspiring ideas, growing content and incredible wonderful people. It’s time to celebrate this! Join us for the first ever WikidataCon Award ceremony tonight! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/WikidataCon_awards_ceremony 01:02:03 https://media.ccc.de/v/wikidatacon2019-15-keynote_questioning_wikidata With almost 60 million items, Wikidata is an incredible knowledge base for human and machine systems, and a testament to the power of collaborative work. But is "the wonderful world of open data" that wonderful? Drawing on their experiences as a data researcher and former Wikimedian, Os Keyes will step through the assumptions and tensions built into the theory and practice of Wikidata. In doing so, they will highlight ways in which the structure and premise of Wikidata creates spaces for harm against marginalised populations, and risks further enabling already-damaging systems of power. Os Keyes is a researcher and writer at the University of Washington, where they study gender, infrastructure and power. Their current projects cover facial recognition, critical tactics for technology, and the consequences of classification for trans lives. Their essays have been published in Slate, Real Life, Logic, and Scientific American; their papers have appeared at CHI, CSCW and other Human-Computer Interaction conferences. They are the inaugural recipient of an Ada Lovelace Fellowship. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Keynote:_Questioning_Wikidata Sat, 26 Oct 2019 10:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-15-eng-Keynote_Questioning_Wikidata_hd.mp4?1572088593 5f5b3458-e69a-59ce-ae5e-6376e436ff84 2019-10-26T10:00:00+02:00 Os Keyes No wikidatacon2019, 15, 2019 With almost 60 million items, Wikidata is an incredible knowledge base for human and machine systems, and a testament to the power of collaborative work. But is "the wonderful world of open data" that wonderful? Drawing on their experiences as a data researcher and former Wikimedian, Os Keyes will step through the assumptions and tensions built into the theory and practice of Wikidata. In doing so, they will highlight ways in which the structure and premise of Wikidata creates spaces for harm against marginalised populations, and risks further enabling already-damaging systems of power. Os Keyes is a researcher and writer at the University of Washington, where they study gender, infrastructure and power. Their current projects cover facial recognition, critical tactics for technology, and the consequences of classification for trans lives. Their essays have been published in Slate, Real Life, Logic, and Scientific American; their papers have appeared at CHI, CSCW and other Human-Computer Interaction conferences. They are the inaugural recipient of an Ada Lovelace Fellowship. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Keynote:_Questioning_Wikidata 00:53:02 https://media.ccc.de/v/wikidatacon2019-8-libraries_panel In this session, there will be five scheduled 10-minute lightning talks followed by a brief Q&A. Evaluating the quality of linked open data in digital libraries Gustavo Candela, Pilar Escobar, Rafael C. Carrasco, Manuel Marco-Such Cultural heritage institutions have recently started to share their collections as linked open data in order to disseminate and enrich them. One of the most important goals of the culture heritage institutions is to be reused by means of the establishment of external links. In this context, data quality in terms of linked open data can be a crucial aspect to consider when selecting a repository for reuse. In this presentation, the methodology defined by previous research for the evaluation of the quality of linked open data is adapted to the specific case of libraries. The quality measures are reported in the case of four highly relevant libraries, including Wikidata as a repository for enriching their metadata. Takeaways An idea of how a culture heritage institution should publish LOD repositories and the most relevant aspects to assess a dataset from a technical data quality of view. Creating LOD for Dutch public libraries Olaf Janssen Directly inspired by a lightning talk from GLAM-Wiki 2018 (https://bit. ly/2Dtrnxc) I started a project to improve the coverage and visibility of public libraries in the Netherlands on Wikidata. Although there are a number of websites listing all these plusminus 1500 libraries, I was quite surprised to find that none of them provide both structured and openly licensed, let alone linked data, while openness should be at the the core of every library's mission. I decided to solve this problem by adding address and geo data of every public library to Wikidata, hence for the very first time creating a (5-star) linked open data set for this type of library. This enables innovative uses, such as overviews and visualisations of the Dutch public library landscape on organisational, municipal, regional, provincial and national levels. This is of interest not only to Wikipedia and LOD enthousiasts, but also to e.g. policy makers, municipalities, scientists and journalists. In addition, to enable SPARQL generated library image galleries, I have started '1Lib1Photo' (inspired by 1Lib1Ref), an initiatieve to add an openly licensed image of every Dutch public library to Wikimedia Commons. Takeaways As a beginning Wikidatian myself, I hope to show that this type of project is suitable for beginners; adding address and geo infomation to Wikidata is a simple task that any one can do and a great way to learn SPARQL. Despite the simple nature of the inputs, the outputs (maps, image galleries, tables) are very relevant, not only for adding overviews of libraries to Wikipedia, but also for parties outside the Wiki sphere. As this project was directly inspired by work done in Wales by Simon Cobb (User:Sic19), I in my turn hope to inspire others to start similar projects in other countries. How can a small research library benefit from Wikidata? Enhancing library products using Wikidata Ursula Oberst, Heleen Smits In 2018 the African Studies Centre Leiden (ASCL) has started to engage with Wikidata by uploading its African Studies Thesaurus to Wikidata and by adding Africa-related publications in the context of WikiCite. The ASCL library is well aware of the fantastic functionalities that can be realized in library catalogs with thesaurus identifiers being present in Wikidata but adjustments to the ASCL catalog itself are at present a too far-fetched goal. How else can the library benefit from Wikidata at short notice? To prepare for the WikiconNL 2019 conference, the ASCL Library compiled an experimental web dossier which combines the components of a classical ASCL web dossier with features offered by Wikidata. The web dossier focuses on Southern African women writers and their publications. Special feature is the interactive Wikidata map that provides links to the writer’s publications in the ASCL catalogue and to her English Wikipedia article. For WikidataCon 2019 the ASCL will prepare a second experimental web dossier on proverbs in African languages. The lightning talk presents the ASCL experimental web dossiers as an example for the enhancement of library products by using Wikidata. Takeaways The web dossiers are practical use cases that can be easily implemented by other libraries. The lightning talk hopes to inspire the attendees and the presenters hope to be inspired by the audience and their experience with easily realisable and practical (library) applications for Wikidata. Using Wikidata to improve spatial subject indexing in a regional bibliography Adrian Pohl The North Rhine-Westphalian Bibliography with more than 400,000 entries is one of the biggest regional bibliographies in Germany. Wikidata has been utilized for more than five years to improve https://nwbib.de, the end user interface of the bibliography, and is lately also taking over an important role in the cataloging backend. As part of subject indexing, catalogers have been recording names of places as strings (~9000 strings refering to ~4500 different places). To get more out of this rather messy data, we started to match strings with Wikidata doing lots of edits on the way. The geo coordinates from matched entries are used to offer map-based features. Currently, we are entirely moving from strings to authority-based subject indexing and chose Wikidata as infrastructure for the creation and maintainance of the spatial classification to be used by catalogers. For this, we had to address several challenges, e.g. how to best periodically create an intermediary SKOS file from Wikidata to be used for features in nwbib.de. The talk describes the lessons learned in matching place names to Wikidata and switching from cataloging strings to Wikidata-derived things. Takeaways How to build a custom matching index with SPARQL and Elasticsearch when traditional approaches (via API or OpenRefine) don't suffice How to maintain authority data in Wikidata and create a SKOS classification from it How to set up a process to conveniently monitor changes with regard to a subset of Wikidata entries and properties Are catalogers inclined to work with Wikidata? How much and what kind of guidance do they need? Wikidata and Libraries as Partners in Data Production, Organization, and Project Inspiration Hilary Thorsen, Lena Denis, Christine Fernsebner Eslao, Marc McGee, Steven Folsom This talk will highlight the exciting possibilities and challenges of integrating library metadata and Wikidata uncovered so far in Linked Data for Production Phase 2 (LD4P2, ld4p.org), an Andrew W. Mellon funded- project. Through projects involving cartographic, archival, and music collections, the project’s Wikimedian in Residence and staff at Harvard and Cornell, have focused on the exploration of Wikidata as a strategy for the creation of day-to-day core descriptions of library collections, identity management, and enhancing discovery of library and archival resources. The talk will demonstrate lessons learned so far, benefits for library users, challenges we have encountered, helpful tools, and example workflows that could serve as entry points for a wide range of institutions to Wikidata. By sharing this work we hope to receive feedback on our approaches, increase collaboration between the library and Wikidata communities, and help library metadata work learn from the openness of the Wiki movement. Takeaways Ideas for using Wikidata to enrich library discovery environments and contribute library data to Wikidata Ideas for using Wikidata to connect data in ways not modelled effectively by traditional library description How library data standards can facilitate data modeling and data profiles in Wikidata and vice versa Relevant Wikidata tools and documentation practices for sharing and enriching library metadata Examples of workflows and mappings for integrating library metadata and Wikidata systematically and holistically Benefits of adding connections between Wikidata and library identifiers Panel speakers: Gustavo Candela (Evaluating the quality of linked open data in digital libraries) Olaf Janssen (Creating 5* LOD for Dutch public libraries) Ursula Oberst, Heleen Smits (How can a small research library benefit from Wikidata? Enhancing library products using Wikidata) Adrian Pohl (Using Wikidata to improve spatial subject indexing in a regional bibliography) Hilary Thorsen, Lena Denis --Librarian lena about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel Sat, 26 Oct 2019 10:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-8-eng-Libraries_panel_hd.mp4?1572089831 52f5e2bb-5827-5e28-986e-12d38fb059f2 2019-10-26T10:00:00+02:00 Hilary Thorsen et al. No wikidatacon2019, 8, 2019 In this session, there will be five scheduled 10-minute lightning talks followed by a brief Q&A. Evaluating the quality of linked open data in digital libraries Gustavo Candela, Pilar Escobar, Rafael C. Carrasco, Manuel Marco-Such Cultural heritage institutions have recently started to share their collections as linked open data in order to disseminate and enrich them. One of the most important goals of the culture heritage institutions is to be reused by means of the establishment of external links. In this context, data quality in terms of linked open data can be a crucial aspect to consider when selecting a repository for reuse. In this presentation, the methodology defined by previous research for the evaluation of the quality of linked open data is adapted to the specific case of libraries. The quality measures are reported in the case of four highly relevant libraries, including Wikidata as a repository for enriching their metadata. Takeaways An idea of how a culture heritage institution should publish LOD repositories and the most relevant aspects to assess a dataset from a technical data quality of view. Creating LOD for Dutch public libraries Olaf Janssen Directly inspired by a lightning talk from GLAM-Wiki 2018 (https://bit. ly/2Dtrnxc) I started a project to improve the coverage and visibility of public libraries in the Netherlands on Wikidata. Although there are a number of websites listing all these plusminus 1500 libraries, I was quite surprised to find that none of them provide both structured and openly licensed, let alone linked data, while openness should be at the the core of every library's mission. I decided to solve this problem by adding address and geo data of every public library to Wikidata, hence for the very first time creating a (5-star) linked open data set for this type of library. This enables innovative uses, such as overviews and visualisations of the Dutch public library landscape on organisational, municipal, regional, provincial and national levels. This is of interest not only to Wikipedia and LOD enthousiasts, but also to e.g. policy makers, municipalities, scientists and journalists. In addition, to enable SPARQL generated library image galleries, I have started '1Lib1Photo' (inspired by 1Lib1Ref), an initiatieve to add an openly licensed image of every Dutch public library to Wikimedia Commons. Takeaways As a beginning Wikidatian myself, I hope to show that this type of project is suitable for beginners; adding address and geo infomation to Wikidata is a simple task that any one can do and a great way to learn SPARQL. Despite the simple nature of the inputs, the outputs (maps, image galleries, tables) are very relevant, not only for adding overviews of libraries to Wikipedia, but also for parties outside the Wiki sphere. As this project was directly inspired by work done in Wales by Simon Cobb (User:Sic19), I in my turn hope to inspire others to start similar projects in other countries. How can a small research library benefit from Wikidata? Enhancing library products using Wikidata Ursula Oberst, Heleen Smits In 2018 the African Studies Centre Leiden (ASCL) has started to engage with Wikidata by uploading its African Studies Thesaurus to Wikidata and by adding Africa-related publications in the context of WikiCite. The ASCL library is well aware of the fantastic functionalities that can be realized in library catalogs with thesaurus identifiers being present in Wikidata but adjustments to the ASCL catalog itself are at present a too far-fetched goal. How else can the library benefit from Wikidata at short notice? To prepare for the WikiconNL 2019 conference, the ASCL Library compiled an experimental web dossier which combines the components of a classical ASCL web dossier with features offered by Wikidata. The web dossier focuses on Southern African women writers and their publications. Special feature is the interactive Wikidata map that provides links to the writer’s publications in the ASCL catalogue and to her English Wikipedia article. For WikidataCon 2019 the ASCL will prepare a second experimental web dossier on proverbs in African languages. The lightning talk presents the ASCL experimental web dossiers as an example for the enhancement of library products by using Wikidata. Takeaways The web dossiers are practical use cases that can be easily implemented by other libraries. The lightning talk hopes to inspire the attendees and the presenters hope to be inspired by the audience and their experience with easily realisable and practical (library) applications for Wikidata. Using Wikidata to improve spatial subject indexing in a regional bibliography Adrian Pohl The North Rhine-Westphalian Bibliography with more than 400,000 entries is one of the biggest regional bibliographies in Germany. Wikidata has been utilized for more than five years to improve https://nwbib.de, the end user interface of the bibliography, and is lately also taking over an important role in the cataloging backend. As part of subject indexing, catalogers have been recording names of places as strings (~9000 strings refering to ~4500 different places). To get more out of this rather messy data, we started to match strings with Wikidata doing lots of edits on the way. The geo coordinates from matched entries are used to offer map-based features. Currently, we are entirely moving from strings to authority-based subject indexing and chose Wikidata as infrastructure for the creation and maintainance of the spatial classification to be used by catalogers. For this, we had to address several challenges, e.g. how to best periodically create an intermediary SKOS file from Wikidata to be used for features in nwbib.de. The talk describes the lessons learned in matching place names to Wikidata and switching from cataloging strings to Wikidata-derived things. Takeaways How to build a custom matching index with SPARQL and Elasticsearch when traditional approaches (via API or OpenRefine) don't suffice How to maintain authority data in Wikidata and create a SKOS classification from it How to set up a process to conveniently monitor changes with regard to a subset of Wikidata entries and properties Are catalogers inclined to work with Wikidata? How much and what kind of guidance do they need? Wikidata and Libraries as Partners in Data Production, Organization, and Project Inspiration Hilary Thorsen, Lena Denis, Christine Fernsebner Eslao, Marc McGee, Steven Folsom This talk will highlight the exciting possibilities and challenges of integrating library metadata and Wikidata uncovered so far in Linked Data for Production Phase 2 (LD4P2, ld4p.org), an Andrew W. Mellon funded- project. Through projects involving cartographic, archival, and music collections, the project’s Wikimedian in Residence and staff at Harvard and Cornell, have focused on the exploration of Wikidata as a strategy for the creation of day-to-day core descriptions of library collections, identity management, and enhancing discovery of library and archival resources. The talk will demonstrate lessons learned so far, benefits for library users, challenges we have encountered, helpful tools, and example workflows that could serve as entry points for a wide range of institutions to Wikidata. By sharing this work we hope to receive feedback on our approaches, increase collaboration between the library and Wikidata communities, and help library metadata work learn from the openness of the Wiki movement. Takeaways Ideas for using Wikidata to enrich library discovery environments and contribute library data to Wikidata Ideas for using Wikidata to connect data in ways not modelled effectively by traditional library description How library data standards can facilitate data modeling and data profiles in Wikidata and vice versa Relevant Wikidata tools and documentation practices for sharing and enriching library metadata Examples of workflows and mappings for integrating library metadata and Wikidata systematically and holistically Benefits of adding connections between Wikidata and library identifiers Panel speakers: Gustavo Candela (Evaluating the quality of linked open data in digital libraries) Olaf Janssen (Creating 5* LOD for Dutch public libraries) Ursula Oberst, Heleen Smits (How can a small research library benefit from Wikidata? Enhancing library products using Wikidata) Adrian Pohl (Using Wikidata to improve spatial subject indexing in a regional bibliography) Hilary Thorsen, Lena Denis --Librarian lena about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel 00:52:29 https://media.ccc.de/v/wikidatacon2019-1147-project_wikiloop Project WikiLoop is an engineering effort initiated by Google engineers, based on Google's big data resources, to contribute knowledge to open knowledge ecosystems such as Wikipedia, adhering to Wikipedia community policies. Search engines have been relying on the health of the open knowledge world, most notably Wikipedia. Yet there are few established efforts to allow continuous contributions of knowledge back to the Wikimedia ecosystem. Project WikiLoop, which was initiated by a engineers at Google, aims at rethinking our efforts in making more knowledge more accessible to the open knowledge ecosystems. We generate data using our computational power to identify potential issues. We build tools, such as bots, games and webapps, to help editors address these issues. We aim to ensure that we are following community policies (such as WP:NPOV), and that we contribute transparently and unbiased. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Project_WikiLoop Fri, 25 Oct 2019 17:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1147-eng-Project_WikiLoop_hd.mp4?1572096423 6b417bb0-2874-5632-8d7a-ddf36cf8c40e 2019-10-25T17:30:00+02:00 Xinbenlv No wikidatacon2019, 1147, 2019 Project WikiLoop is an engineering effort initiated by Google engineers, based on Google's big data resources, to contribute knowledge to open knowledge ecosystems such as Wikipedia, adhering to Wikipedia community policies. Search engines have been relying on the health of the open knowledge world, most notably Wikipedia. Yet there are few established efforts to allow continuous contributions of knowledge back to the Wikimedia ecosystem. Project WikiLoop, which was initiated by a engineers at Google, aims at rethinking our efforts in making more knowledge more accessible to the open knowledge ecosystems. We generate data using our computational power to identify potential issues. We build tools, such as bots, games and webapps, to help editors address these issues. We aim to ensure that we are following community policies (such as WP:NPOV), and that we contribute transparently and unbiased. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Project_WikiLoop 00:25:30 https://media.ccc.de/v/wikidatacon2019-1068-reinstating_female_artists_to_the_cultural_record_via_wikidata In 2016 the Stadtmuseum Berlin hosted a temporary exhibition entitled "Berlin – Stadt der Frauen". The exhibition comprised works by female artists, who had enjoyed prominence in the past, but had subsequently been ignored by the male-dominated academy. As a result, these artists are underrepresented in the literature and rarely mentioned in secondary sources, which presents a challenge: How does one satisfy Wikidata’s notability criteria, when little supporting documentation exists and the artist’s notability has (only) been established by a cultural heritage institution? See this exchange for an example of the problems that can arise. Objects from the exhibition were digitised under the auspices of a publicly funded programme. Data from this project has been uploaded into Wikidata as part of a test case. The presentation will detail the process and address the issues encountered, as well as make some suggestions for the future. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Reinstating_Female_Artists_to_the_Cultural_Record_via_Wikidata Fri, 25 Oct 2019 18:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1068-eng-Reinstating_Female_Artists_to_the_Cultural_Record_via_Wikidata_hd.mp4?1572031827 af3f1bed-5512-5787-a906-1a13e95e3197 2019-10-25T18:00:00+02:00 Heinz-Günter Kuper No wikidatacon2019, 1068, 2019 In 2016 the Stadtmuseum Berlin hosted a temporary exhibition entitled "Berlin – Stadt der Frauen". The exhibition comprised works by female artists, who had enjoyed prominence in the past, but had subsequently been ignored by the male-dominated academy. As a result, these artists are underrepresented in the literature and rarely mentioned in secondary sources, which presents a challenge: How does one satisfy Wikidata’s notability criteria, when little supporting documentation exists and the artist’s notability has (only) been established by a cultural heritage institution? See this exchange for an example of the problems that can arise. Objects from the exhibition were digitised under the auspices of a publicly funded programme. Data from this project has been uploaded into Wikidata as part of a test case. The presentation will detail the process and address the issues encountered, as well as make some suggestions for the future. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Reinstating_Female_Artists_to_the_Cultural_Record_via_Wikidata 00:29:27 https://media.ccc.de/v/wikidatacon2019-1059-inventaire_what_we_learnt_from_reusing_and_extending_wikidata_shifting_data This talk will present an update on building a project on top of Wikidata, from our experience on Inventaire. Inventaire does two things regarding Wikidata: reuse its items data and extend it in a local database reusing a very similar data model. In both aspects, we regularly encounter difficulties as the community redefines some properties, or some P31 values, which may break the expectations on which external applications are built on. We would like to discuss advantages and drawbacks of considered work-arounds such as shadow items, data model bulk upgrade, different strategies to type and shape items. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Inventaire_:_What_we_learnt_from_reusing_and_extending_Wikidata_shifting_data Fri, 25 Oct 2019 18:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1059-eng-Inventaire_What_we_learnt_from_reusing_and_extending_Wikidata_shifting_data_hd.mp4?1572032529 c9cbb630-ef38-594f-a816-553aa3b2436d 2019-10-25T18:00:00+02:00 Maxlath, Jums No wikidatacon2019, 1059, 2019 This talk will present an update on building a project on top of Wikidata, from our experience on Inventaire. Inventaire does two things regarding Wikidata: reuse its items data and extend it in a local database reusing a very similar data model. In both aspects, we regularly encounter difficulties as the community redefines some properties, or some P31 values, which may break the expectations on which external applications are built on. We would like to discuss advantages and drawbacks of considered work-arounds such as shadow items, data model bulk upgrade, different strategies to type and shape items. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Inventaire_:_What_we_learnt_from_reusing_and_extending_Wikidata_shifting_data 00:24:06 https://media.ccc.de/v/wikidatacon2019-1048-wikidata_for_emerging_communities_knowledge_gaps How are different emerging communities adding their knowledge to Wikidata and also leveraging this data to improve other Wikimedia projects such as creating Wikidata driven Infoboxes, using ArticlePlaceholder to create basic entries about missing topics on Wikipedia and using Listeria bot to create indexes on Wikisource? How the Indic community has been filling the existing gaps on Wikidata with the help of datathons and labelathons? What are the different editing activities that can help engage newbies to contribute to Wikidata and filling knowledge gaps at the same time? In this session, we will try to answer these questions but with your help, of course! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_for_filling_knowledge_gaps_in_the_emerging_communities:_Indic_case_studies Fri, 25 Oct 2019 17:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1048-eng-Wikidata_for_Emerging_Communities_knowledge_gaps_hd.mp4?1572025980 294d59cb-4698-5f97-a594-b44b8eb5ab3a 2019-10-25T17:30:00+02:00 SGill (WMF), Bodhisattwa No wikidatacon2019, 1048, 2019 How are different emerging communities adding their knowledge to Wikidata and also leveraging this data to improve other Wikimedia projects such as creating Wikidata driven Infoboxes, using ArticlePlaceholder to create basic entries about missing topics on Wikipedia and using Listeria bot to create indexes on Wikisource? How the Indic community has been filling the existing gaps on Wikidata with the help of datathons and labelathons? What are the different editing activities that can help engage newbies to contribute to Wikidata and filling knowledge gaps at the same time? In this session, we will try to answer these questions but with your help, of course! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_for_filling_knowledge_gaps_in_the_emerging_communities:_Indic_case_studies 00:26:32 https://media.ccc.de/v/wikidatacon2019-6-glam_panel The Role of Wikidata within Data Ecosystems that Extend Beyond the Realm of Wikimedia Projects In this session the four speakers will shed light on the role of Wikidata in the context of data ecosystems that serve usage scenarios that reach beyond the realm of Wikimedia projects. They will present concrete data publication projects they have been involved in and discuss how Wikidata is complementary to third party data platforms. Together, they will try to find ways to address the various challenges encountered in their respective projects and point out areas where increased coordination will be needed in the future. The examples covered pertain to topics as varied as the description of historical places, library authority files, art history, conservation data, press archives, and performing arts: Susanna Ånäs has been involved with organisations in Finland who have developed vocabularies and ontologies of places and place names, in which a special attention is paid to historical places as well as to the history of existing places. As the Finnish Names Archive decided to use Wikibase to publish their place names collection, the modelling choices made in Wikidata have served as an important reference point for Finnish GLAMs when it comes to modelling places. Mike Dickison has worked with numerous GLAM organisations throughout Aotearoa New Zealand, helping them engage with Wikimedia projects. He will report on three main projects: the National Library of NZ authority lists, the Bloomsbury South art history project with Christchurch Art Gallery, and working with the Department of Conservation to add every living member of the endangered kākāpō species to Wikidata. Joachim Neubert is running a project on Wikidata to improve the access to the content of the “20th Century Press Archive” (PM20), a large collection of folders with millions of press clippings and other material about persons, organizations, wares, events and general subjects. Founded in 1908 in Germany, the archive soon extended its coverage to newspapers all over the world. The PM20 metadata is well structured (using controlled vocabularies, such as GND), and has been released by its creator ZBW under a CC-0 licence. (WikiProject) Beat Estermann has been working towards the creation of an International Knowledge Base for the Performing Arts based on linked data technology, relying both on Wikidata and the classical linked data approach. Over the past few years, he has contributed to data publication projects related to various segments of the performing arts value network, involving production and presenting companies, archival institutions, educational and research institutions, as well as the free online encyclopedia Wikipedia (see: Building a Linked Open Data Ecosystem for the Performing Arts).   about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/GLAM_panel Fri, 25 Oct 2019 17:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-6-eng-GLAM_panel_hd.mp4?1572031476 0ec6c1d1-ca89-5ace-8a4f-f256dc44f0bc 2019-10-25T17:30:00+02:00 Susanna Ånäs, Mike Dickison, Joachim Neubert, Beat Estermann No wikidatacon2019, 6, 2019 The Role of Wikidata within Data Ecosystems that Extend Beyond the Realm of Wikimedia Projects In this session the four speakers will shed light on the role of Wikidata in the context of data ecosystems that serve usage scenarios that reach beyond the realm of Wikimedia projects. They will present concrete data publication projects they have been involved in and discuss how Wikidata is complementary to third party data platforms. Together, they will try to find ways to address the various challenges encountered in their respective projects and point out areas where increased coordination will be needed in the future. The examples covered pertain to topics as varied as the description of historical places, library authority files, art history, conservation data, press archives, and performing arts: Susanna Ånäs has been involved with organisations in Finland who have developed vocabularies and ontologies of places and place names, in which a special attention is paid to historical places as well as to the history of existing places. As the Finnish Names Archive decided to use Wikibase to publish their place names collection, the modelling choices made in Wikidata have served as an important reference point for Finnish GLAMs when it comes to modelling places. Mike Dickison has worked with numerous GLAM organisations throughout Aotearoa New Zealand, helping them engage with Wikimedia projects. He will report on three main projects: the National Library of NZ authority lists, the Bloomsbury South art history project with Christchurch Art Gallery, and working with the Department of Conservation to add every living member of the endangered kākāpō species to Wikidata. Joachim Neubert is running a project on Wikidata to improve the access to the content of the “20th Century Press Archive” (PM20), a large collection of folders with millions of press clippings and other material about persons, organizations, wares, events and general subjects. Founded in 1908 in Germany, the archive soon extended its coverage to newspapers all over the world. The PM20 metadata is well structured (using controlled vocabularies, such as GND), and has been released by its creator ZBW under a CC-0 licence. (WikiProject) Beat Estermann has been working towards the creation of an International Knowledge Base for the Performing Arts based on linked data technology, relying both on Wikidata and the classical linked data approach. Over the past few years, he has contributed to data publication projects related to various segments of the performing arts value network, involving production and presenting companies, archival institutions, educational and research institutions, as well as the free online encyclopedia Wikipedia (see: Building a Linked Open Data Ecosystem for the Performing Arts).   about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/GLAM_panel 01:01:11 https://media.ccc.de/v/wikidatacon2019-2-wikidata_and_languages When it comes to language in Wikidata there are two key pieces to look at. the multilinguality of the data - being able to see and contribute data in your language. the lexicographical data part of Wikidata - collecting data about words in any language. We've made great strides over the past 2 years in both areas. But how far have we really come? What works well and what doesn't yet? What's becoming possible? Let's find out! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_and_languages Fri, 25 Oct 2019 16:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-2-eng-Wikidata_and_languages_hd.mp4?1572025501 ca991a71-8758-58e4-ac2e-69133353dbdb 2019-10-25T16:00:00+02:00 Lydia Pintscher No wikidatacon2019, 2, 2019 When it comes to language in Wikidata there are two key pieces to look at. the multilinguality of the data - being able to see and contribute data in your language. the lexicographical data part of Wikidata - collecting data about words in any language. We've made great strides over the past 2 years in both areas. But how far have we really come? What works well and what doesn't yet? What's becoming possible? Let's find out! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_and_languages 00:49:51 https://media.ccc.de/v/wikidatacon2019-19-lightning_talks_2 During this lightning talks session, you will hear a brief presentation of several projects. Each talk lasts 10min, including questions. Mbabel tool - automatic articles on Wikipedia with Wikidata EricaAzzellini This talk will present the Mbabel tool tool that works under the concept of structured narratives for automatic Wikipedia entries generation using Wikidata information. I’ll cover the context of its development, how it works, why it was created, how it’s being used in Brazil on GLAM and Education projects and finally what’s yet to come! The Role of Wikidata in the Open Knowledge Network for Geosciences Yolanda Gil The Open Knowledge Network (OKN) is a US initiative with the goal to provide infrastructure for publicly accessible knowledge graphs that have five key characteristics: 1) they are public and openly accessible, 2) they are created, curated, and managed in a distributed manner, 3) their contents are created mostly automatically, 4) they include rich provenance about the sources of information, and 5) have natural interfaces for lay users. Wikidata includes geospatial entities, geophysical variables, and general geosciences concepts and could serve as a backbone for OKN in geosciences. Conversely, OKN could augment Wikidata with geoscience entities and datasets, deep time representations (prior eras), and computationally derived datasets. We will also describe a collection of driving use cases in geosciences, such as environmental impact of human activities and climate dynamics, and related applications in environmental sciences, social sciences, and health. Finally, we will discuss the generality of our tools to other domains, specifically controlled crowdsourcing of ontologies and their potential use in Wikidata." Something exciting about Wikibase Addshore TBD QAnswer, a Question Answering System on top of Wikidata Dennis Diefenbach I will make a demo of QAnswer: a Question Answering system over Wikidata. Example of some question that we can answer, problems related to "quality problems" in the dataset, how we exploit the multilinguality of Wikidata, how we collect feedback by users to improve and current challenges. Slides available under [1], demo available under www.qanswer.eu/qa. Slides of the presentation of QAnswer at the WikidataConf 2019 session Lightning talks 2 Panandâ A Wikidata-powered mobile app Eugene Alvin Villar User:seav Panandâ is a mobile app that lets users explore the historical plaques installed by the National Historical Commission of the Philippines (NHCP) and its predecessor agencies. The app uses data from Wikidata and photos from Wikimedia Commons and was first released in May 2018. This lightning talk gives the app’s background, introduces the team that adds and maintains data in Wikidata, and explains the technology and challenges related to developing the app to consume data from Wikidata. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Lightning_talks_2 Fri, 25 Oct 2019 16:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-19-eng-Lightning_talks_2_hd.mp4?1572023219 9ee834c1-486f-5583-901b-bf8224c6198d 2019-10-25T16:00:00+02:00 No wikidatacon2019, 19, 2019 During this lightning talks session, you will hear a brief presentation of several projects. Each talk lasts 10min, including questions. Mbabel tool - automatic articles on Wikipedia with Wikidata EricaAzzellini This talk will present the Mbabel tool tool that works under the concept of structured narratives for automatic Wikipedia entries generation using Wikidata information. I’ll cover the context of its development, how it works, why it was created, how it’s being used in Brazil on GLAM and Education projects and finally what’s yet to come! The Role of Wikidata in the Open Knowledge Network for Geosciences Yolanda Gil The Open Knowledge Network (OKN) is a US initiative with the goal to provide infrastructure for publicly accessible knowledge graphs that have five key characteristics: 1) they are public and openly accessible, 2) they are created, curated, and managed in a distributed manner, 3) their contents are created mostly automatically, 4) they include rich provenance about the sources of information, and 5) have natural interfaces for lay users. Wikidata includes geospatial entities, geophysical variables, and general geosciences concepts and could serve as a backbone for OKN in geosciences. Conversely, OKN could augment Wikidata with geoscience entities and datasets, deep time representations (prior eras), and computationally derived datasets. We will also describe a collection of driving use cases in geosciences, such as environmental impact of human activities and climate dynamics, and related applications in environmental sciences, social sciences, and health. Finally, we will discuss the generality of our tools to other domains, specifically controlled crowdsourcing of ontologies and their potential use in Wikidata." Something exciting about Wikibase Addshore TBD QAnswer, a Question Answering System on top of Wikidata Dennis Diefenbach I will make a demo of QAnswer: a Question Answering system over Wikidata. Example of some question that we can answer, problems related to "quality problems" in the dataset, how we exploit the multilinguality of Wikidata, how we collect feedback by users to improve and current challenges. Slides available under [1], demo available under www.qanswer.eu/qa. Slides of the presentation of QAnswer at the WikidataConf 2019 session Lightning talks 2 Panandâ A Wikidata-powered mobile app Eugene Alvin Villar User:seav Panandâ is a mobile app that lets users explore the historical plaques installed by the National Historical Commission of the Philippines (NHCP) and its predecessor agencies. The app uses data from Wikidata and photos from Wikimedia Commons and was first released in May 2018. This lightning talk gives the app’s background, introduces the team that adds and maintains data in Wikidata, and explains the technology and challenges related to developing the app to consume data from Wikidata. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Lightning_talks_2 00:46:40 https://media.ccc.de/v/wikidatacon2019-1034-wikidata_works_for_wales_wikidata_and_the_dictionary_of_welsh_biography This is the story of how a dusty old volume about famous Welsh people came to be a slick digital experience powered by Wikidata. In 2013 the Dictionary of Welsh Biography was first made available online. 2 years later we engaged volunteers in a 'MIx & Match project to add entries to Wikidata (about 4500), since then the data has been improved several times by extracting data in tagged text files to Wikidata. In 2019 a new website was launched with added resources and links to Wikidata items. And work began on a bespoke bilingual interactive timeline which would allow users of the website to explore and filter content visually - all powered by live Wikidata . Learn more about our journey, discover how we connected the data with our visual collections, with other aspects of our collections and see the brand new timeline in use! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_works_for_Wales_-_Wikidata_and_the_Dictionary_of_Welsh_Biography Fri, 25 Oct 2019 16:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1034-eng-Wikidata_works_for_Wales_-_Wikidata_and_the_Dictionary_of_Welsh_Biography_hd.mp4?1572021911 51bfc541-1426-5b4e-aadf-86c7db936bf7 2019-10-25T16:00:00+02:00 Jason Evans No wikidatacon2019, 1034, 2019 This is the story of how a dusty old volume about famous Welsh people came to be a slick digital experience powered by Wikidata. In 2013 the Dictionary of Welsh Biography was first made available online. 2 years later we engaged volunteers in a 'MIx & Match project to add entries to Wikidata (about 4500), since then the data has been improved several times by extracting data in tagged text files to Wikidata. In 2019 a new website was launched with added resources and links to Wikidata items. And work began on a bespoke bilingual interactive timeline which would allow users of the website to explore and filter content visually - all powered by live Wikidata . Learn more about our journey, discover how we connected the data with our visual collections, with other aspects of our collections and see the brand new timeline in use! about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_works_for_Wales_-_Wikidata_and_the_Dictionary_of_Welsh_Biography 00:25:21 https://media.ccc.de/v/wikidatacon2019-1004-wikibase_for_canadian_indigenous_content This session will focus on the broad issue of Indigenous related data in Wikibase and Wikidata through a specific use case/project. The Canadian Federation of Library Associations Indigenous Matters group is working on developing an Indigenous-specific ontology. This is part of a response to the Truth and Reconciliation Report and seen as vital mechanism for, in part, dealing with the negative legacy of colonialism. Wikibase is potentially the best mechanism for making this data available. The goal is to demonstrate this specific use case a model case for similar work and also raise critical issues that need to be considered by the community as a whole. Issues: The challenges of modelling this kind of data and why Wikidata is not the best choice Successes, challenges and critical issues Issues related to the integration of Indigenous languages, historical communities (i.e. communities no longer occupied) Questions this kind of work raises for the GLAM sector as a whole, especially as it relates to marginalized knowledges How the use of Wikibase support Indigenous data sovereignty and the tension this raises within the open movement as a whole. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikibase_for_Canadian_Indigenous_Content Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1004-eng-Wikibase_for_Canadian_Indigenous_Content_hd.mp4?1572015923 5df295d5-8c65-5786-8741-2af32baad10b 2019-10-25T00:00:00+02:00 Stacy Allison-Cassin No wikidatacon2019, 1004, 2019 This session will focus on the broad issue of Indigenous related data in Wikibase and Wikidata through a specific use case/project. The Canadian Federation of Library Associations Indigenous Matters group is working on developing an Indigenous-specific ontology. This is part of a response to the Truth and Reconciliation Report and seen as vital mechanism for, in part, dealing with the negative legacy of colonialism. Wikibase is potentially the best mechanism for making this data available. The goal is to demonstrate this specific use case a model case for similar work and also raise critical issues that need to be considered by the community as a whole. Issues: The challenges of modelling this kind of data and why Wikidata is not the best choice Successes, challenges and critical issues Issues related to the integration of Indigenous languages, historical communities (i.e. communities no longer occupied) Questions this kind of work raises for the GLAM sector as a whole, especially as it relates to marginalized knowledges How the use of Wikibase support Indigenous data sovereignty and the tension this raises within the open movement as a whole. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikibase_for_Canadian_Indigenous_Content 00:33:26 https://media.ccc.de/v/wikidatacon2019-1009-experimenting_with_wikidata_in_the_saami_languages Wikimedia Finland plans to enrich data for the minority and indigenous languages and cultures in Finland via Wikidata. We are tackling this challenge from many angles, three of which we will discuss in our talk. First and foremost, we have to ensure that Wikidata is set up properly so these communities can use their language on Wikimedia projects to begin with. Secondly, we look for ways to engage with the communities as well as computational linguists and terminologists to produce and enter terminology into Wikidata. The means can range from term-a-thons and translate-a-thons to producing a gamified app in a popular context. Thirdly, we will highlight ways in which our work can be reused by the indigenous communities. For example, media can be tagged in these languages via Wikidata, specialized glossaries can be autogenerated much like infoboxes in the Catalan Wikipedia, and the Wikidocumentaries project becomes navigable in those languages, even when the language does not have a Wikipedia of its own. The talk will demonstrate actions already taken as well as ideas for further work. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Experimenting_with_Wikidata_in_the_Saami_languages_and_the_Saami_languages_in_Wikidata Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1009-eng-Experimenting_with_Wikidata_in_the_Saami_languages_hd.mp4?1572012453 b279d86c-4ff6-5b87-a34e-26fa1954b265 2019-10-25T00:00:00+02:00 Kimberli Mäkäräinen, Susanna Ånäs No wikidatacon2019, 1009, 2019 Wikimedia Finland plans to enrich data for the minority and indigenous languages and cultures in Finland via Wikidata. We are tackling this challenge from many angles, three of which we will discuss in our talk. First and foremost, we have to ensure that Wikidata is set up properly so these communities can use their language on Wikimedia projects to begin with. Secondly, we look for ways to engage with the communities as well as computational linguists and terminologists to produce and enter terminology into Wikidata. The means can range from term-a-thons and translate-a-thons to producing a gamified app in a popular context. Thirdly, we will highlight ways in which our work can be reused by the indigenous communities. For example, media can be tagged in these languages via Wikidata, specialized glossaries can be autogenerated much like infoboxes in the Catalan Wikipedia, and the Wikidocumentaries project becomes navigable in those languages, even when the language does not have a Wikipedia of its own. The talk will demonstrate actions already taken as well as ideas for further work. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Experimenting_with_Wikidata_in_the_Saami_languages_and_the_Saami_languages_in_Wikidata 00:19:10 https://media.ccc.de/v/wikidatacon2019-18-lightning_talks_1 During this lightning talks session, you will hear a brief presentation of several projects. Each talk lasts 10min, including questions. Rated reviews of pre-XX-c women's writing Rosie Stephenson-Goodknight "Women Writers in Review" is an initiative of the Digital Scholarship Group at Northeastern University (Boston) where I serve as Visiting Scholar. The initiative encompasses pre-20th-century English language women writers, their works, reviews of their works, and scoring of the reviews (P444) by academics. The initiative supports research into the transatlantic reception and readership of early texts by women ("cultures of reception"). Using structured data to model the work enables analysis, identification, and depiction of gender bias over a particular time period (pre-XX-c) and language (English). In consultation with others, I've developed a Wikidata model to depict this research. The session will include a visualization of the data, an early analysis, my approach to developing the model, and discussion as to how this model might be used by other academic institutions to contribute their unique data sets to Wikidata. While this presentation focuses on Wikidata, it also relates to WikiCite. Presentation #1 of this topic (an introduction to an idea) occurred at LD4 conference (Boston, May 2019). Presentation #2 occurred at Wikimania (Stockholm, August 2019); it was a discussion regarding the pending data upload and the successful property proposal process. This is Presentation #3. Timelines on a Cosmic Scale (Histropedia) Navino Evans A brief demo to show off an exciting new feature in our Wikidata Query Viewer tool that allows us to visualize cosmic timescales (billions of years) on the timelines the tool auto generates from Wikidata sparl queries. Wikibase for BnF's cataloguing software Thibaud Senelada We will present the results of a POC we did about Wikibase as a cataloguing tool. Ordia Finn Årup Nielsen Ordia is a Wikidata front-end running on the Wikimedia Toolforge https://tools.wmflabs.org/ordia/. It displays information about the lexemes of Wikidata, including their forms and senses. Ordia makes use of the Wikidata Query Service and can thus aggregate information from various different Wikidata pages. For instance, the language aspect shows statistics for the number of lexemes, forms and senses with respect to languages. Ordia also shows overviews over lexical categories, grammatical features, properties and the use of references. If a user input a text into a specific input field, Ordia can extract the individual words and query for the individual words. This talk will demonstrate the various uses of Ordia and briefly discuss the status of Wikidata lexemes. Books/data vs. Wikisource/Wikidata Vigneron Wikisources make an extensive use of Wikidata. This lightning talk will present an overview of the relationship between Wikisources and Wikidata: which data are used, what tools can help, and what are the problems still to overcome. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Lightning_talks_1 Fri, 25 Oct 2019 14:30:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-18-eng-Lightning_talks_1_hd.mp4?1572020992 8565d26c-a383-5c23-b333-f8623ef69506 2019-10-25T14:30:00+02:00 No wikidatacon2019, 18, 2019 During this lightning talks session, you will hear a brief presentation of several projects. Each talk lasts 10min, including questions. Rated reviews of pre-XX-c women's writing Rosie Stephenson-Goodknight "Women Writers in Review" is an initiative of the Digital Scholarship Group at Northeastern University (Boston) where I serve as Visiting Scholar. The initiative encompasses pre-20th-century English language women writers, their works, reviews of their works, and scoring of the reviews (P444) by academics. The initiative supports research into the transatlantic reception and readership of early texts by women ("cultures of reception"). Using structured data to model the work enables analysis, identification, and depiction of gender bias over a particular time period (pre-XX-c) and language (English). In consultation with others, I've developed a Wikidata model to depict this research. The session will include a visualization of the data, an early analysis, my approach to developing the model, and discussion as to how this model might be used by other academic institutions to contribute their unique data sets to Wikidata. While this presentation focuses on Wikidata, it also relates to WikiCite. Presentation #1 of this topic (an introduction to an idea) occurred at LD4 conference (Boston, May 2019). Presentation #2 occurred at Wikimania (Stockholm, August 2019); it was a discussion regarding the pending data upload and the successful property proposal process. This is Presentation #3. Timelines on a Cosmic Scale (Histropedia) Navino Evans A brief demo to show off an exciting new feature in our Wikidata Query Viewer tool that allows us to visualize cosmic timescales (billions of years) on the timelines the tool auto generates from Wikidata sparl queries. Wikibase for BnF's cataloguing software Thibaud Senelada We will present the results of a POC we did about Wikibase as a cataloguing tool. Ordia Finn Årup Nielsen Ordia is a Wikidata front-end running on the Wikimedia Toolforge https://tools.wmflabs.org/ordia/. It displays information about the lexemes of Wikidata, including their forms and senses. Ordia makes use of the Wikidata Query Service and can thus aggregate information from various different Wikidata pages. For instance, the language aspect shows statistics for the number of lexemes, forms and senses with respect to languages. Ordia also shows overviews over lexical categories, grammatical features, properties and the use of references. If a user input a text into a specific input field, Ordia can extract the individual words and query for the individual words. This talk will demonstrate the various uses of Ordia and briefly discuss the status of Wikidata lexemes. Books/data vs. Wikisource/Wikidata Vigneron Wikisources make an extensive use of Wikidata. This lightning talk will present an overview of the relationship between Wikisources and Wikidata: which data are used, what tools can help, and what are the problems still to overcome. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Lightning_talks_1 00:51:14 https://media.ccc.de/v/wikidatacon2019-1076-_hernaturalhistory Wikidata can play a vital role in surfacing notable women and can assist with closing the gender gap in various language Wikipedias. Using the example of under acknowledged women in the field of natural history, this presentation will show how Wikidata editors can collate data enabling researchers to more easily locate, investigate and publish on underrepresented women. The interlinking of elements in the Wikimedia Commons Structured Data project can assist editors in establishing sufficient notability for Wikidata items for these women. This in turn can assist Wikipedians to overcome the notability criteria for Wikipedia articles. This presentation will outline the practical steps needed to ensure the creation or improvement of external identifiers for these women through collaboration with other organisations such as the Biodiversity Heritage Library and the Stuttgart Database of Scientific illustrators. This wikiwork can then feed into external organisation outreach campaigns creating a virtuous cycle of data creation, sharing and linking. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/HerNaturalHistory:_A_collaboration Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1076-eng-HerNaturalHistory_hd.mp4?1572009146 a7be8b3c-5c23-5f3f-ba0f-e89a45233b1e 2019-10-25T00:00:00+02:00 Siobhan Leachman No wikidatacon2019, 1076, 2019 Wikidata can play a vital role in surfacing notable women and can assist with closing the gender gap in various language Wikipedias. Using the example of under acknowledged women in the field of natural history, this presentation will show how Wikidata editors can collate data enabling researchers to more easily locate, investigate and publish on underrepresented women. The interlinking of elements in the Wikimedia Commons Structured Data project can assist editors in establishing sufficient notability for Wikidata items for these women. This in turn can assist Wikipedians to overcome the notability criteria for Wikipedia articles. This presentation will outline the practical steps needed to ensure the creation or improvement of external identifiers for these women through collaboration with other organisations such as the Biodiversity Heritage Library and the Stuttgart Database of Scientific illustrators. This wikiwork can then feed into external organisation outreach campaigns creating a virtuous cycle of data creation, sharing and linking. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/HerNaturalHistory:_A_collaboration 00:27:39 https://media.ccc.de/v/wikidatacon2019-1077-wikidata_commons_contribution_strategies_for_glam_organizations With an increasing number of GLAM organizations releasing their collections through open access initiatives, there is a need to help support the dual task of mapping their open data to Wikidata, while simultaneously contributing related multimedia to Wikimedia Commons. This session will discuss the issues around the simultaneous donation of multimedia content to Commons and structured data to Wikidata. We will present practical tools and strategies around this task through the experiences of the presenters at The Metropolitan Museum of Art. The museum introduced an open access policy in February 2017 with the assistance of the Wikimedia Foundation. (https://www.metmuseum.org/blogs/digital-underground/2017/open-access-at-the-met) While this session is data-focused and will discuss techniques and APIs for interacting with the Wikidata and Commons, it is meant to be approachable by even non-programmers. Tools to be discussed include GLAM Wiki Toolset (GWT), Pattypan, Mix-n-Match, Wikidata Distributed Game, TABernacle, spreadsheet utilities, PAWS (Python notebook), and various Python code tools for working with MediaWiki and Wikibase. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_Commons_contribution_strategies_for_GLAM_organizations Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1077-eng-Wikidata_Commons_contribution_strategies_for_GLAM_organizations_hd.mp4?1572012233 7ff9e543-bede-58b5-b0f7-59f5b20f359b 2019-10-25T00:00:00+02:00 Andrew Lih No wikidatacon2019, 1077, 2019 With an increasing number of GLAM organizations releasing their collections through open access initiatives, there is a need to help support the dual task of mapping their open data to Wikidata, while simultaneously contributing related multimedia to Wikimedia Commons. This session will discuss the issues around the simultaneous donation of multimedia content to Commons and structured data to Wikidata. We will present practical tools and strategies around this task through the experiences of the presenters at The Metropolitan Museum of Art. The museum introduced an open access policy in February 2017 with the assistance of the Wikimedia Foundation. (https://www.metmuseum.org/blogs/digital-underground/2017/open-access-at-the-met) While this session is data-focused and will discuss techniques and APIs for interacting with the Wikidata and Commons, it is meant to be approachable by even non-programmers. Tools to be discussed include GLAM Wiki Toolset (GWT), Pattypan, Mix-n-Match, Wikidata Distributed Game, TABernacle, spreadsheet utilities, PAWS (Python notebook), and various Python code tools for working with MediaWiki and Wikibase. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikidata_Commons_contribution_strategies_for_GLAM_organizations 00:45:06 https://media.ccc.de/v/wikidatacon2019-1060-new_usages_of_wikidata_to_support_underserved_language_communities Wikidata has a diverse community that can help to close the language gap that currently mirrors the lack of diversity of the web at large. The community of Wikidata consists of humans and bots working alongside each other. This hybrid model is unique for a knowledge graph of this size. We want to emphasize on the possibilities that this collaboration can bring and present the current stage of cross-lingual editing of humans and bots. Further, we will discuss current research on how Wikidata can support low-resource Wikipedias with projects such as Scribe and the ArticlePlaceholder. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/New_usages_of_Wikidata_to_support_undeserved_language_communities Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1060-eng-New_usages_of_Wikidata_to_support_underserved_language_communities_hd.mp4?1572010111 c3a0d85b-9d32-5c82-95b8-ed1fd13b5e05 2019-10-25T00:00:00+02:00 Lucie-Aimée Kaffee No wikidatacon2019, 1060, 2019 Wikidata has a diverse community that can help to close the language gap that currently mirrors the lack of diversity of the web at large. The community of Wikidata consists of humans and bots working alongside each other. This hybrid model is unique for a knowledge graph of this size. We want to emphasize on the possibilities that this collaboration can bring and present the current stage of cross-lingual editing of humans and bots. Further, we will discuss current research on how Wikidata can support low-resource Wikipedias with projects such as Scribe and the ArticlePlaceholder. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/New_usages_of_Wikidata_to_support_undeserved_language_communities 00:26:15 https://media.ccc.de/v/wikidatacon2019-5-wikibase_inspiration_panel Be inspired to run your own Wikibase instance and see what applications of the software behind Wikidata already exist in national libraries, GLAM, and digital humanities. During this session, you will get an overview of various organizations using Wikibase (the software powering Wikidata) and an update on ongoing projects. Panel speakers: Anila Angjeli & Benjamin Bober (Assessing Wikibase as the core of the French National Entities file) David Fichtmueller (Using Wikibase as a Platform to Develop a Semantic Biodiversity Standard) fischerdata (Authority control meets Wikibase - The German National Library and Wikimedia Deutschland Quest) battleofalma (Wikibase and building a community in Artists's Publishing) Olaf Simons (Using a Wikibase platform outside the Wikidata environment - why it is cool and where things get difficult) about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikibase_inspiration_panel Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-5-eng-Wikibase_inspiration_panel_hd.mp4?1572020409 37c14087-d8f5-5340-bd0b-1cf9e1b8a55e 2019-10-25T00:00:00+02:00 Jens Ohlig No wikidatacon2019, 5, 2019 Be inspired to run your own Wikibase instance and see what applications of the software behind Wikidata already exist in national libraries, GLAM, and digital humanities. During this session, you will get an overview of various organizations using Wikibase (the software powering Wikidata) and an update on ongoing projects. Panel speakers: Anila Angjeli & Benjamin Bober (Assessing Wikibase as the core of the French National Entities file) David Fichtmueller (Using Wikibase as a Platform to Develop a Semantic Biodiversity Standard) fischerdata (Authority control meets Wikibase - The German National Library and Wikimedia Deutschland Quest) battleofalma (Wikibase and building a community in Artists's Publishing) Olaf Simons (Using a Wikibase platform outside the Wikidata environment - why it is cool and where things get difficult) about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Wikibase_inspiration_panel 01:00:14 https://media.ccc.de/v/wikidatacon2019-14-keynote_why_is_collecting_lexical_data_one_of_the_best_ways_we_can_help_support_underserved_and_endangered_languages_ Ben Yang, the Director of Technology of PanLex, will be discussing the importance of collecting lexical data for underserved languages, PanLex’s role and methodology, and how Wikidata and PanLex could work together to enable language communities to use their mother tongues in the wider world through the collection and dissemination of lexical data. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Keynote:_PanLex Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-14-eng-Keynote_Why_is_collecting_lexical_data_one_of_the_best_ways_we_can_help_support_underserved_and_endangered_languages_hd.mp4?1572014570 1998f87b-1276-5f6f-880e-5fe8e7ec6903 2019-10-25T00:00:00+02:00 Benjamin Yang (PanLex) No wikidatacon2019, 14, 2019 Ben Yang, the Director of Technology of PanLex, will be discussing the importance of collecting lexical data for underserved languages, PanLex’s role and methodology, and how Wikidata and PanLex could work together to enable language communities to use their mother tongues in the wider world through the collection and dissemination of lexical data. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Keynote:_PanLex 00:42:53 https://media.ccc.de/v/wikidatacon2019-3-glimpse_over_wikidata Wikidata has become so big it's sometimes hard to apreciate what we've acomplished over the past year. Let's take a look together and see what has happened over the past year and how these changes shaped us. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Glimpse_over_Wikidata Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-3-eng-Glimpse_over_Wikidata_hd.mp4?1572004471 b175d492-f9ef-5fc1-ae21-2cc5830c850b 2019-10-25T00:00:00+02:00 Lydia Pintscher No wikidatacon2019, 3, 2019 Wikidata has become so big it's sometimes hard to apreciate what we've acomplished over the past year. Let's take a look together and see what has happened over the past year and how these changes shaped us. about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Glimpse_over_Wikidata 00:30:07 https://media.ccc.de/v/wikidatacon2019-1000-opening_session Opening Session, including introduction speech and practical details about the conference about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Opening_session Fri, 25 Oct 2019 00:00:00 +0200 https://cdn.media.ccc.de/events/wikidatacon/2019/h264-hd/wikidatacon2019-1000-eng-Opening_session_hd.mp4?1572002342 cbb2284e-3a0f-5878-9342-414b8a0be7fe 2019-10-25T00:00:00+02:00 Léa Lacroix No wikidatacon2019, 1000, 2019 Opening Session, including introduction speech and practical details about the conference about this event: https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Opening_session 00:21:08 media.ccc.de / RSS 0.3.1 CCC media team media@c3voc.de CCC media team No CCC Congress Hacking Security Netzpolitik A wide variety of video material distributed by the CCC. All content is taken from cdn.media.ccc.de and media.ccc.de A wide variety of video material distributed by the Chaos Computer Club. This feed contains all events from wikidatacon2019 as mp4