Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO

Issue title: Quality management of Semantic Web assets (data, services and systems)

Guest editors: Amrapali Zaveri, Dimitris Kontokostas, Sebastian Hellmann and Jürgen Umbrich

Article type: Research Article

Authors: Färber, Michael^{; *} | Bartscherer, Frederic | Menne, Carsten | Rettinger, Achim

Affiliations: Karlsruhe Institute of Technology (KIT), Institute AIFB, 76131 Karlsruhe, Germany

Correspondence: [*] Corresponding author. E-mail: michael.faerber@kit.edu.

Abstract: In recent years, several noteworthy large, cross-domain, and openly available knowledge graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Although extensively in use, these KGs have not been subject to an in-depth comparison so far. In this survey, we provide data quality criteria according to which KGs can be analyzed and analyze and compare the above mentioned KGs. Furthermore, we propose a framework for finding the most suitable KG for a given setting.

Keywords: Knowledge graph, linked data quality, data quality metrics, comparison, DBpedia, Freebase, OpenCyc, Wikidata, YAGO

DOI: 10.3233/SW-170275

Journal: Semantic Web, vol. 9, no. 1, pp. 77-129, 2018