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arXiv 2207.09562cs.CLcs.DB

QuoteKG: A Multilingual Knowledge Graph of Quotes

L3S Research Center(L3S研究中心);Leibniz Universität Hannover(汉诺威莱布尼茨大学);Universität Bonn(波恩大学)

Tin Kuculo, Simon Gottschalk, Elena Demidova

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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