@inproceedings{hall-etal-2022ESWC,
year = 2022,
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 Sergio J. Rodr\'iguez M\'endez},
booktitle = {19th European Semantic Web Conference, ESWC 2022},
publisher = {Springer},
month = may,
day = {29--02},
doi = {https://doi.org/10.1007/978-3-031-06981-9_2},
url = {http://polleres.net/publications/halll-etal-2022ESWC.pdf}
}

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