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

Which Knowledge Graph Is Best for Me?