The latest release of ClaimsKG is available in Datorium. ClaimsKG is a knowledge graph of metadata information for thousands of fact-checked claims which facilitates structured queries about their truth values, authors, dates, and other kinds of metadata. ClaimsKG is generated through a (semi-)automated pipeline, which harvests claim-related data from popular fact-checking web sites, annotates them with related entities from DBpedia, and lifts all data to RDF using an RDF/S model that makes use of established vocabularies (such as schema.org). ClaimsKG does NOT contain the text of the reviews from the fact-checking web sites; it only contains structured metadata information and links to the reviews. More information, such as statistics, query examples and a user friendly interface to explore the knowledge graph, is available at: https://data.gesis.org/claimskg/site If you use ClaimsKG, please cite the below paper: Tchechmedjiev, Andon, Pavlos Fafalios, Katarina Boland, Malo Gasquet, Matthäus Zloch, Benjamin Zapilko, Stefan Dietze, and Konstantin Todorov. "ClaimsKG: a Knowledge Graph of Fact-Checked Claims." In International Semantic Web Conference, pp. 309-324. Springer, Cham, 2019. https://doi.org/10.1007/978-3-030-30796-7_20 [pdf, bib]