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论文类型：会议论文

发表时间：2007-09-18

收录刊物：EI、CPCI-S、Scopus

页面范围：495-501

关键字：P2P networks; information retrieval; keywords relationship; peer priority

摘要：Due to the inability of traditional keyword-based retrieval using semantic meaning in Peer-to-Peer networks, large bandwidth is wasted; meanwhile desirable information is still far beyond the search results most algorithms could gain. How to locate the needed peer accurately and how to obtain requested information rapidly are important issues. In this paper, through an automatic study mechanism toward a series of keywords inputted by user's operation and past retrieval information tracking, an algorithm used to dynamically build the keyword semantic relationship table and to generate the index table of the keywords and their corresponding peers is proposed. The utilization of these tables promotes the accuracy in locating the needed peers and the efficiency in retrieving information. By assistance of feedback mechanism, knowledge is advanced to share within the interest domain. We also present the experiment and results prove efficiency and low-cost of the algorithm.