Study of Multi-Agent Information Retrieval Model in Semantic Web

In view of the low accuracy and the lack of intelligence and individuation in existing information retrieval system, the capacity of resources semantics description of ontology and multi-agents characteristic of intelligence and individuation were used in this paper. Model of multi-agent information retrieval system based semantic Web was proposed in virtue of the combination of semantic Web and MAS. In comparison with existing retrieval model only based on multi-agent or semantic Web, intelligent agent in our model utilizes ontology knowledge to normalize retrieval request information, which can improve the accuracy rate and cover rate of retrieval.