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Semantic Computing with Conversations and Stories

  • Toyoaki Nishida
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3609)

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.

Keywords

Semantic Process Social Intelligence Conversational Agent Communicative Intelligence Knowledge Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Toyoaki Nishida
    • 1
  1. 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 113-8656Japan

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