Research On Retrieval System Model Of Semantic Peer-to-Peer Web Based On User’s Interest

Semantic peer-to-peer web which is combined with the semantic web technology and P2P technology provides a new pattern web. In this web, the machine can automatically process the resources through the unified pattern and extract implicit semantic information. Apparently, the semantic peer-to-peer web is capable to enrich the semantic representation of the peer-processed information. How to effectively use the semantic information in this environment and improve the efficiency of searching information resources has become catch more and more attention of scholars. Considering the method for information retrieval in existing research mainly used semantic equivalence of shallow levels and neglected semantic reasoning mechanism and semantic relations, a construction method of retrieval model is proposed in this paper.Firstly, it scientifically organized various methods for information management and retrieval in semantic peer-to-peer web, summarized the shortcomings of current research. Then, with the usage of the advantages of knowledge map on the information organization and management, the local peer interest model can be constructed. Meanwhile, it applied the semantic matching technology to establish the adjacency relations on the basis of content as well as the interest similarity degree involving two peers and form user interest group in accordance with the rules of corresponding. Finally an information retrieval model is proposed on the basis of which the systems of semantic retrieval is presented and it systematically illustrates the function of each module, introduces the key technologies in order to explain how to realize the dynamic process of information resource searching.Through to the research on retrieval system which applied the peer’s interest based on semantic peer-to-peer network, it can gives peer’s interested full play to the retrieval model, significantly improve the utilization of the resources and the retrieval accuracy, implement to obtain resources acceptably, so as to shake off the low retrieval efficiency on the original semantic peer-to-peer network and the disadvantages of the resource utilization of incomplete.