Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
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We are developing the Papits, a research activity support system for a laboratory at a university. Papits helps to find both information and/or person by a keyword and a know-who search mechanism. Information sources in Papits are distributed because they are members' computers. To find good information and people from such environment, we conceptualize information as agents and introduce peer-to-peer(P2P) technologies, which allow us to find information from massively distributed information sources. To conceptualize information as agent, we use thesaurus as characteristics of information sources. In this paper, we describe how to find information using thesaurus as characteristics of information sources. We will also show an experimental result which indicates that our method is effective for selecting appropriate sources from distributed information sources.