【摘 要】
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In this paper,we propose Term-based Semantic Peerto-Peer Networks (TSPN) to achieve semantic search.For each peer,TSPN builds a full text index of its documents
【机 构】
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School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 4300
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In this paper,we propose Term-based Semantic Peerto-Peer Networks (TSPN) to achieve semantic search.For each peer,TSPN builds a full text index of its documents.Through the analysis of resources,TSPN obtains series of terms,and distributes these terms into the network.Thus,TSPN can use query terms to locate appropriate peers to perform semantic search.Moreover,unlike the traditional structured P2P networks,TSPN uses the terms,not the peers,as the logical nodes of DHT.This can withstand the impact of network chum.The experimental results show that TSPN has better performance compared with the existing P2P semantic searching algorithms.
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