@inproceedings{99b5889989a848be88402ca29771ec26,
title = "An Analysis of Links in Wikidata",
abstract = "Wikidata has become one of the most prominent open knowledge graphs (KGs) on the Web. Relying on a community of users with different expertise, this cross-domain KG is directly related to other data sources. This paper investigates how Wikidata is linked to other data sources in the Linked Data ecosystem. To this end, we adapt previous definitions of ontology links and instance links to the terminological part of the Wikidata vocabulary and perform an analysis of the links in Wikidata to external datasets and ontologies from the Linked Data ecosystem. As a side effect, this reveals insights on the ontological expressiveness of meta-properties used in Wikidata. The results of this analysis show that while Wikidata defines a large number of individuals, classes and properties within its own namespace, they are not (yet) extensively linked. We discuss reasons for this and conclude with some suggestions to increase the interconnectedness of Wikidata with other KGs.",
author = "Armin Haller and Axel Polleres and Daniil Dobriy and Nicolas Ferranti and {Rodr{\'i}guez M{\'e}ndez}, {Sergio J.}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th International Conference on European Semantic Web Conference, ESWC 2022 ; Conference date: 29-05-2022 Through 02-06-2022",
year = "2022",
month = may,
day = "31",
doi = "10.1007/978-3-031-06981-9_2",
language = "English",
isbn = "978-3-031-06980-2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "21--38",
editor = "Paul Groth and Maria-Esther Vidal and Fabian Suchanek and Pedro Szekley and Pavan Kapanipathi and Catia Pesquita and Hala Skaf-Molli and Minna Tamper",
booktitle = "The Semantic Web",
address = "Germany",
}