QuoteKG: A Multilingual Knowledge Graph of Quotes

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Kuculo, T.; Gottschalk, S.; Demidova, E.: QuoteKG: A Multilingual Knowledge Graph of Quotes. In: Groth, P.; Vidal, M.-E.; Suchanek, F,; Szekley, P.; Kapanipathi, P. et al. (Eds.): ESWC 2022: The Semantic Web. Cham, Switzerland : Springer, 2022 (Lecture Notes in Computer Science ; 13261), S. 353-369. DOI: https://doi.org/10.1007/978-3-031-06981-9_21

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/17057

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Sum total of downloads: 5




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Abstract: 
Quotes of public figures can mark turning points in history. A quote can explain its originator’s actions, foreshadowing political or personal decisions and revealing character traits. Impactful quotes cross language barriers and influence the general population’s reaction to specific stances, always facing the risk of being misattributed or taken out of context. The provision of a cross-lingual knowledge graph of quotes that establishes the authenticity of quotes and their contexts is of great importance to allow the exploration of the lives of important people as well as topics from the perspective of what was actually said. In this paper, we present QuoteKG, the first multilingual knowledge graph of quotes. We propose the QuoteKG creation pipeline that extracts quotes from Wikiquote, a free and collaboratively created collection of quotes in many languages, and aligns different mentions of the same quote. QuoteKG includes nearly one million quotes in 55 languages, said by more than 69, 000 people of public interest across a wide range of topics. QuoteKG is publicly available and can be accessed via a SPARQL endpoint.
License of this version: CC BY 4.0 Unported
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Forschungszentren

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pos. country downloads
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1 image of flag of Germany Germany 3 60.00%
2 image of flag of United States United States 1 20.00%
3 image of flag of Israel Israel 1 20.00%

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