Simularity-based Semantics Searching in Peer-to-Peer Networks
一种基于语义相似的P2P搜索机制

Due to the increasing size of P2P systems and their characteristic of being dynamic and heterogeneous,effective searching techniques have become an important research issue and received much attention recently.On studying the key facts in unstructured P2P searching technologies and analyzing their limitations,this thesis proposes a similarity-based semantics searching technology.It gets routing information according to searching history to help recover the target which is most related to the searching content,thus improving the efficiency of searching and the hit rate.Simulation results prove the effectiveness and efficiency of the proposed searching mechanism.