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

Stanislav MalyshevStanislav Malyshev, Markus KrötzschMarkus Krötzsch, Julius GonsiorJulius Gonsior, Larry GonzalezLarry Gonzalez, Adrian BielefeldtAdrian Bielefeldt

Stanislav Malyshev, Markus Krötzsch, Julius Gonsior, Larry Gonzalez, Adrian Bielefeldt
Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph
Proceedings of the 17th International Semantic Web Conference (ISWC'18), LNCS, to appear. Springer

Details
Bibtex

KurzfassungAbstract
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.
Projekt:Project: Cfaed, DIAMOND, HAEC B08, Wikidata
Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems

The final publication is available at Springer.

@inproceedings{MKGGB2018,
  author    = {Stanislav Malyshev and Markus Kr{\"{o}}tzsch and Julius Gonsior
               and Larry Gonzalez and Adrian Bielefeldt},
  title     = {Getting the Most out of Wikidata: Semantic Technology Usage in
               Wikipedia’s Knowledge Graph},
  booktitle = {Proceedings of the 17th International Semantic Web Conference
               (ISWC'18)},
  series    = {LNCS},
  publisher = {Springer},
  year      = {2018}
}