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作 者:GAO Guoqiang LI Ruixuan LU Zhengding
机构地区:[1]School of Computer Science and Technology, HuazhongUniversity of Science and Technology, Wuhan 430074, Hubei,China [2]School of Media and Communication, Wuhan TextileUniversity, Wuhan 430073, Hubei, China
出 处:《Wuhan University Journal of Natural Sciences》2012年第1期31-35,共5页武汉大学学报(自然科学英文版)
基 金:Supported by the National Natural Science Foundation of China( 60873225, 60773191, 70771043);National High Technology Research and Development Program of China ( 2007AA01Z403);Wuhan Youth Science and Technology Chenguang Program (200950431171)
摘 要: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.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.
关 键 词:Term-based Semantic Peer-to-Peer Networks (TSPN) peer-to-peer semantic parsing semantic DHT
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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