In view of the existing limitation of search engines in the information retrieval, this paper proposes multi-agent intelligent retrieval system model based on Ontology, and gives the system structure, workflow, function description of the model. Intelligent Agent utilizes ontology knowledge to normalize retrieval request information, which can improve the accuracy rate and cover rate of retrieval. Agents collaborate divisibly to finish information retrieval and automatic update service, and embody the intellectualization and individuality of system,etc. This model can provide foundation for realizing the highly effective intelligent retrieval system research.
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Zhao Wei,Sun Wandong . Multi-Agent Intelligent Retrieval System Model Research Based on Ontology. New Technology of Library and Information Service, 2006, 1(5): 27-30.
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