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Semantic Computing with Conversations and Stories

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New Frontiers in Artificial Intelligence (JSAI 2003, JSAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3609))

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Abstract

Semantics is grounded on intellectual activities in various communities in the human society. Conversations and stories are primary media for substantiating the semantic processes in a community. In this paper, I model a semantic process as a coevolutionary spiral of conversations and stories in a community, and present a simple but practical computational model featuring knowledge cards that can serve as a semantic component, lifecycle support of knowledge cards, and strategic control of information streams. Then, I generalize the approach as a technique called conversation quantization, which is based on the idea of approximating a continuous flow of conversation by a series of conversation quanta that represent points of the discourse. I show some implemented systems to show how these ideas are implemented.

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

    Toyoaki Nishida

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  1. Toyoaki Nishida
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Akito Sakurai Kôiti Hasida Katsumi Nitta

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© 2007 Springer Berlin Heidelberg

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Nishida, T. (2007). Semantic Computing with Conversations and Stories. In: Sakurai, A., Hasida, K., Nitta, K. (eds) New Frontiers in Artificial Intelligence. JSAI JSAI 2003 2004. Lecture Notes in Computer Science(), vol 3609. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71009-7_15

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  • DOI: https://doi.org/10.1007/978-3-540-71009-7_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71008-0

  • Online ISBN: 978-3-540-71009-7

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