关键词: 对等网, 语义, 多特征词搜索, 向量空间模型, 负载平衡

Abstract: The conventional P2P system has its limitations in that it is based on single keyword search and does not support semantics. With Vector Space Model, this paper attempts to realize the multi-keywords search; the segmentation of identifier space helps to gather the similar files at adjacent nodes, thus can speed up search process. In addition, semantic idea assists P2P system better understand the search and improve its performance, especially recall rate. The simulation experiments have indicated: multi-keywords query is realized; query process is accelerated; search performance is improved by using semantic technology; a better load balance is achieved.

Key words: Peer to Peer, semantic, Multi-keywords Search, Vector Space Model, Load Balance