- Author
- Year
- 2022
- host editors
-
L.-A. Kaffee
S. Razniewski
G. Amaral
K.S. Alghamdi - Title
- Towards improving Wikidata reuse with emerging patterns
- Event
- 3rd Wikidata Workshop, Wikidata 2022
- Book/source title
- Proceedings of the 3rd Wikidata Workshop 2022
- Book/source subtitle
- co-located with the 21st International Semantic Web Conference (ISWC2022) : Virtual Event, Hangzhou, China, October 2022
- Number of pages
- 12
- Publisher
- Aachen: CEUR-WS
- Series
- CEUR Workshop Proceedings, 1613-0073, 3262
- Document type
- Conference contribution
- Faculty
- Faculty of Science (FNWI)
- Institute
- 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.
- Link
- Final publisher version
- Other links
- proceedings
Link to publication in Scopus - Language
- English
- Persistent Identifier
- https://hdl.handle.net/11245.1/5436ca16-d751-4b41-bd34-cfcb8bcb92cf
- Downloads
-
paper2-1(Final published version)
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