Using Multiagent Profiling for Distributed Information Retrieval

Abstract

In this paper, we propose a multiagent information retrieval strategy in which, each agent learns from its experience through its interactions with other agents their capabilities and qualifications. Based on a distributed ontology learning framework, our methodology allows an agent to profile other agents in a dynamic translation table and a neighborhood… (More)

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@inproceedings{Soh2004UsingMP, title={Using Multiagent Profiling for Distributed Information Retrieval}, author={Leen-Kiat Soh}, year={2004} }