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
Journal: Semantic Web, vol. Preprint, no. Preprint, pp. 1-53, 2017