Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
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.
Details
Original language | English |
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Title of host publication | The Semantic Web – ISWC 2018 |
Editors | Denny Vrandečić, Kalina Bontcheva, Mari Carmen Suárez-Figueroa, Valentina Presutti, Irene Celino, Marta Sabou, Lucie-Aimée Kaffee, Elena Simperl |
Publisher | Springer, Cham |
Pages | 376–394 |
ISBN (electronic) | 978-3-030-00668-6 |
ISBN (print) | 978-3-030-00667-9 |
Publication status | Published - 2018 |
Peer-reviewed | Yes |
Publication series
Series | Lecture Notes in Computer Science |
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Volume | 11137 |
ISSN | 0302-9743 |
External IDs
Scopus | 85054857720 |
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ORCID | /0000-0002-5985-4348/work/162348850 |