Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph

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Title of the PDF document Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph
Author Stanislav Malyshev, Markus Krötzsch, Larry González, Julius Gonsior, Adrian Bielefeldt
Editor
Publisher
Sponsor, owner, or organizer International Center for Computational Logic
Year of publication or release 2018 CE
URL https://iccl.inf.tu-dresden.de/web/Inproceedings3044/en, https://iccl.inf.tu-dresden.de/w/images/5/5a/Malyshev-et-al-Wikidata-SPARQL-ISWC-2018.pdf
Website or blog on which published Technische Universität Dresden
Description of the resource Wikidata is the collaboratively curated knowledge graph of the Wikimedia Foundation (WMF), and the core project of Wikimedia’s data management strategy. A major challenge for bringing Wikidata to its full potential was to provide reliable and powerful services for data sharing and query, and the WMF has chosen to rely on semantic technologies for this purpose. A live SPARQL endpoint, regular RDF dumps, and linked data APIs are now forming the backbone of many uses of Wikidata. We describe this influential use case and its underlying infrastructure, analyse current usage, and share our lessons learned and future plans.
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If the source of the description was in print, insert the source here
If the source of the description was online, insert the source here "Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph," Technische Universität Dresden, October 11, 2018, accessed October 12, 2018, https://iccl.inf.tu-dresden.de/web/Inproceedings3044/en
Relevant century CE or BCE 21 CE
Relevant years CE or BCE 2018 CE
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Relevant languages
Relevant terms and phrases collaborative, curate, knowledge, graph, knowledge graph, core, project, data, management, strategy, challenge, potential, reliable, powerful, service, share, query, semantic, technology, semantic technologies, Simple Protocol and RDF Query Language, SPARQL, endpoint, dump, RDF, Resource Description Framework, linked data, application programming interface, API, backbone, influential, use case, underlying, infrastructure, analyze, usage, lesson, learn, future
Relevant individuals Stanislav Malyshev, Markus Krötzsch, Larry González, Julius Gonsior, Adrian Bielefeldt
Relevant organizations Wikimedia Foundation, International Center for Computational Logic, Technische Universität Dresden
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Relevant websites and blogs Wikidata
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Relevant events International Semantic Web Conference, ISWC 2018
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Stanislav Malyshev +, Markus Krötzsch +, Larry González +, Julius Gonsior +  and Adrian Bielefeldt +
International Semantic Web Conference +  and ISWC 2018 +
Stanislav Malyshev +, Markus Krötzsch +, Larry González +, Julius Gonsior +  and Adrian Bielefeldt +
Wikimedia Foundation +, International Center for Computational Logic +  and Technische Universität Dresden +
collaborative +, curate +, knowledge +, graph +, knowledge graph +, core +, project +, data +, management +, strategy +, challenge +, potential +, reliable +, powerful +, service +, share +, query +, semantic +, technology +, semantic technologies +, Simple Protocol and RDF Query Language +, SPARQL +, endpoint +, dump +, RDF +, Resource Description Framework +, linked data +, application programming interface +, API +, backbone +, influential +, use case +, underlying +, infrastructure +, analyze +, usage +, lesson +, learn +  and future +
Wikidata is the collaboratively curated knWikidata is the collaboratively curated knowledge graph of the Wikimedia Foundation (WMF), and the core project of Wikimedia’s data management strategy. A major challenge for bringing Wikidata to its full potential was to provide reliable and powerful services for data sharing and query, and the WMF has chosen to rely on semantic technologies for this purpose. A live SPARQL endpoint, regular RDF dumps, and linked data APIs are now forming the backbone of many uses of Wikidata. We describe this influential use case and its underlying infrastructure, analyse current usage, and share our lessons learned and future plans.hare our lessons learned and future plans. +
"Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph," Technische Universität Dresden, October 11, 2018, accessed October 12, 2018, https://iccl.inf.tu-dresden.de/web/Inproceedings3044/en +
International Center for Computational Logic +
2018 CE +
Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph +
Technische Universität Dresden +