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World History Ontology for Reasoning Truth/Falsehood of Sentences: Event Classification to Fill in the Gaps Between Knowledge Resources and Natural Language Texts

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New Frontiers in Artificial Intelligence (JSAI-isAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8417))

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Abstract

This paper introduces a world history ontology that supports reasoning of truth/falsehood of historical descriptions in natural languages. The core of the ontology includes an event classification according to certain basic properties such as necessary/sufficient conditions for the existence of events in the real world. We will discuss how this ontology functions in solving world history problems in Japan’s National Center Test for University Admissions, especially in the reasoning of “falsehood” of sentences and bridging of the “granularity difference” between target sentences and knowledge resources.

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Acknowledgments

We gratefully acknowledge the National Center for University Entrance Examination and JC Educational Institute for the Center Test data.

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Authors and Affiliations

  1. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan

    Ai Kawazoe, Yusuke Miyao, Takuya Matsuzaki, Hikaru Yokono & Noriko Arai

Authors
  1. Ai Kawazoe
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  2. Yusuke Miyao
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  3. Takuya Matsuzaki
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  4. Hikaru Yokono
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  5. Noriko Arai
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Corresponding author

Correspondence to Ai Kawazoe .

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Editors and Affiliations

  1. Seikei University, Musashino-shi, Tokyo, Japan

    Yukiko Nakano

  2. National Institute of Informatics Research Division, Tokyo, Japan

    Ken Satoh

  3. Ochanomizu University, Tokyo, Japan

    Daisuke Bekki

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Kawazoe, A., Miyao, Y., Matsuzaki, T., Yokono, H., Arai, N. (2014). World History Ontology for Reasoning Truth/Falsehood of Sentences: Event Classification to Fill in the Gaps Between Knowledge Resources and Natural Language Texts. In: Nakano, Y., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2013. Lecture Notes in Computer Science(), vol 8417. Springer, Cham. https://doi.org/10.1007/978-3-319-10061-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-10061-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10060-9

  • Online ISBN: 978-3-319-10061-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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