基于对等网络的全文信息检索

基于P2P方式的信息检索系统相对集中式信息检索系统具有成本低、可扩展性好、容错性强等优点，可充分挖掘网络边缘资源，并可提供个性化的信息服务．然而如何在纯P2P环境下实现全文检索并定位目标资源是困难的．当前，采用广播查询的非结构化P2P(如Gnutella)和采用分布式Hash表方式的结构化P2P(如CAN)都不能直接实现全文检索．针对这个问题，提出了基于质心法的结构化P2P全文检索方法，并建立模拟程序，对检索的性能与效果做了初步的验证．实验结果表明了该方法的有效性．

P2P Full Text Information Retrieval Based on Centroid Method

Instead of a centralized information system, a peer-to-peer(P2P) full text information retrieval system is more scalable, cost effective and fault tolerant.It can cover the information at the edge of network and is more suitable for personalized resources services.However, P2P full text search is a very challenging problem, and the traditional broadcast ways are quite ineffective.Unstructured P2P information sharing systems (such as Gnutella, KaZaA) and structured P2P system can not support direct full text information retrieval.In this paper, a P2P full text information retrieval system is presented based on centroid method.A simulation program is created and the performance of the system is tested.Experimental results show that this is a steady system with high recall, good load balance and low resource usage.