mlsanityData to 7 Oct 2026

Which Knowledge Graph Is Best for Me?

arXiv 1809.11099 ↗First posted 28 Sep 2018cs.AI cs.DBcited by 7

Not on the map. Why?

Abstract (arXiv)

In recent years, DBpedia, Freebase, OpenCyc, Wikidata, and YAGO have been published as noteworthy large, cross-domain, and freely available knowledge graphs. Although extensively in use, these knowledge graphs are hard to compare against each other in a given setting. Thus, it is a challenge for researchers and developers to pick the best knowledge graph for their individual needs. In our recent survey, we devised and applied data quality criteria to the above-mentioned knowledge graphs. Furthermore, we proposed a framework for finding the most suitable knowledge graph for a given setting. With this paper we intend to ease the access to our in-depth survey by presenting simplified rules that map individual data quality requirements to specific knowledge graphs. However, this paper does not intend to replace our previously introduced decision-support framework. For an informed decision on which KG is best for you we still refer to our in-depth survey.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Sep 2018.

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Citing papers per year: 2022: 3; 2023: 1; 2024: 2; 2025: 1.

7 papers.