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Author
V.A. Carriero
P. GrothORCID logo
V. Presutti
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
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    paper2-1(Final published version)

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