Social network and spatial semantics for real-world information service

Authors:
Yutaka Matsuo
Affiliations:
National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
Venue:
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
Year:
2004

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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.