Towards improving Wikidata reuse with emerging patterns

Open Access
Authors
Publication date 2022
Host editors
  • L.-A. Kaffee
  • S. Razniewski
  • G. Amaral
  • K.S. Alghamdi
Book title Proceedings of the 3rd Wikidata Workshop 2022
Book subtitle co-located with the 21st International Semantic Web Conference (ISWC2022) : Virtual Event, Hangzhou, China, October 2022
Series CEUR Workshop Proceedings
Event 3rd Wikidata Workshop, Wikidata 2022
Article number 2
Number of pages 12
Publisher Aachen: CEUR-WS
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

The ontology underlying Wikidata has not been formalized. Instead, its semantics emerges from the use of its classes and properties. Flexible rules and suggestions have been defined by the Wikidata project for the use of its ontology, however, it is still often difficult to reuse the ontology's constructs. In this paper, we describe a method for extracting emerging patterns from (a domain-specific portion of) Wikidata, in the form of statistically frequent domain-property-range triplets. We show the results of our experiments on a Wikidata subset addressing the music domain, and compare them with the current support present in Wikidata. These patterns can provide guidance for the use of the Wikidata ontology and its potential improvement.

Document type Conference contribution
Language English
Published at https://ceur-ws.org/Vol-3262/paper2.pdf
Other links https://ceur-ws.org/Vol-3262/ https://www.scopus.com/pages/publications/85142359878
Downloads
paper2-1 (Final published version)
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