TSPN: Term-Based Semantic Peer-to-Peer Networks

作     者：GAO Guoqiang LI Ruixuan LU Zhengding 

作者机构：School of Computer Science and Technology HuazhongUniversity of Science and Technology Wuhan 430074 HubeiChina School of Media and Communication Wuhan TextileUniversity Wuhan 430073 Hubei China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2012年第17卷第1期

页      面：31-35页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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) 

主　　题：Term-based Semantic Peer-to-Peer Networks (TSPN) peer-to-peer semantic parsing semantic DHT 

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.