Abstract
Wikidata is a collaborative knowledge graph not structured according to predefined ontologies. Its schema evolves in a bottom-up approach defined by its users. In this paper, we propose a methodology to investigate how semantics develop in sub-schemas used by particular, domain-specific communities within the Wikidata knowledge graph: (i) we provide an approach to identify the domain sub-schema from a set of given classes and its related community, considered domain-specific; (ii) we propose an approach for analysing the such identified sub-schemas and communities, including their evolution over time. Finally, we suggest further possible analyses that would give better insights in (i) the communities themselves, (ii) the KG vocabulary accuracy, quality and its evolution over time according to domain areas, raising the potential of Wikidata improvement and its re-use by domain experts.
Original language | English |
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Title of host publication | Wikidata 2022 Wikidata Workshop 2022 |
Subtitle of host publication | Proceedings of the 3rd Wikidata Workshop 2022 co-located with the 21st International Semantic Web Conference (ISWC2022) Virtual Event, Hangzhou, China, October 2022 |
Editors | Lucie-Aimée Kaffee, Simon Razniewski, Gabriel Amaral, Kholoud Saad Alghamdi |
Publisher | CEUR-WS.org |
Pages | 1-8 |
Number of pages | 8 |
Publication status | Published - 2022 |
Event | 3rd Wikidata Workshop, Wikidata 2022 - Virtual, Hanghzou, China Duration: 24 Oct 2022 → … |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | CEUR Workshop Proceedings |
Volume | 3262 |
ISSN (Print) | 1613-0073 |
Conference
Conference | 3rd Wikidata Workshop, Wikidata 2022 |
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Country/Territory | China |
City | Virtual, Hanghzou |
Period | 24/10/22 → … |
Bibliographical note
Publisher Copyright:© 2022 Copyright for this paper by its authors.
Keywords
- Domain-specific Communities
- Empirical Semantics
- Ontology Evolution
- Wikidata