ClaimsKG - A Knowledge Graph of Fact-Checked Claims
Creators
- 1. LGI2P, IMT Mines-Ales
- 2. Institute of Computer Science - FORTH-ICS
- 3. LIRMM / University of Montpellier / CNRS
- 4. GESIS - Leibniz Institute for the Social Sciences
- 5. Katarina
- 6. Benjamin
Description
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]
Files
ClaimsKG_v2.0.zip
Files
(83.2 MB)
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