Special issue on Wikidata construction, evaluation and applications

Wikidata ( Communications of the ACM 57 (2014) 78–85), the open knowledge graph maintained by the Wikimedia Foundation, continues to expand its role as a central hub of structured data for Wikipedia and its sister projects, as well as an increasingly vital resource for academic research and industrial applications. Its collaborative nature, blending human and machine contributions, creates unique opportunities and challenges at the intersection of knowledge representation, data management, and socio-technical systems. The growing academic interest in Wikidata has been exemplified by initiatives like the annual Wikidata Workshop at the International Semantic Web Conference (ISWC) (Proceedings of the 4th Wikidata Workshop (2024) CEUR Workshop Proceedings; Proceedings of the 3rd Wikidata Workshop (2023) CEUR Workshop Proceedings). These efforts have fostered a vibrant research community investigating both the technical aspects of Wikidata and its socio-technical ecosystem. Building on this momentum, this special issue of the Semantic Web Journal brings together cutting-edge research to explore the opportunities and challenges posed by this collaborative knowledge graph.

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Publication Details

Journal
Semantic Web
Published
2024-12-01
DOI
https://doi.org/10.3233/sw-243786
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Special issue on Wikidata construction, evaluation and applications

Lucie-Aimée Kaffee, Simon Razniewski, Pavlos Vougiouklis
Semantic Web
Semantic Web and Ontologies
article

Special issue on Wikidata construction, evaluation and applications

Lucie-Aimée Kaffee, Simon Razniewski, Pavlos Vougiouklis
article en

Abstract

Wikidata ( Communications of the ACM 57 (2014) 78–85), the open knowledge graph maintained by the Wikimedia Foundation, continues to expand its role as a central hub of structured data for Wikipedia and its sister projects, as well as an increasingly vital resource for academic research and industrial applications. Its collaborative nature, blending human and machine contributions, creates unique opportunities and challenges at the intersection of knowledge representation, data management, and socio-technical systems. The growing academic interest in Wikidata has been exemplified by initiatives like the annual Wikidata Workshop at the International Semantic Web Conference (ISWC) (Proceedings of the 4th Wikidata Workshop (2024) CEUR Workshop Proceedings; Proceedings of the 3rd Wikidata Workshop (2023) CEUR Workshop Proceedings). These efforts have fostered a vibrant research community investigating both the technical aspects of Wikidata and its socio-technical ecosystem. Building on this momentum, this special issue of the Semantic Web Journal brings together cutting-edge research to explore the opportunities and challenges posed by this collaborative knowledge graph.

Semantic WebVol. 15(6)
Hugin Expert (Denmark) (DK), Huawei Technologies (United Kingdom) (GB), Technische Universität Dresden (DE)
Openalex Percentile: Top 71%
Semantic Web and Ontologies
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