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Social Network and Spatial Semantics for Real-World Information Service

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Massively Multi-Agent Systems I (MMAS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3446))

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Abstract

Several attempts have been made to utilize a large scale multi-agent system for real-world information services in mobile/ubiquitous/pervasive computing environments. In our world, social knowledge, such as human relations and spatial semantics, plays an important role in communication and behavior. Such social knowledge should be incorporated into multi-agent systems to increase the effectiveness of real-world information services. This paper describes an approach for acquisition and utilization of social relationships among people. A web-mining approach is used to obtain a social network, especially that of researchers. We also address semantics of place.

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Author information

Authors and Affiliations

  1. National Institute of Advanced Industrial Science and Technology (AIST), Aomi 2-41-6, Tokyo, 135-0064, Japan

    Yutaka Matsuo

Authors
  1. Yutaka Matsuo
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Editor information

Editors and Affiliations

  1. Department of Social Informatics, Kyoto University, 606-8501, Kyoto, Japan

    Toru Ishida

  2. Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA

    Les Gasser

  3. Future University - Hakodate, 116-2 Kameda-Nakanocho, Hakodate, 041-8655, Hokkaido, Japan

    Hideyuki Nakashima

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Matsuo, Y. (2005). Social Network and Spatial Semantics for Real-World Information Service. In: Ishida, T., Gasser, L., Nakashima, H. (eds) Massively Multi-Agent Systems I. MMAS 2004. Lecture Notes in Computer Science(), vol 3446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11512073_19

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  • DOI: https://doi.org/10.1007/11512073_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26974-8

  • Online ISBN: 978-3-540-31889-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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