摘要
本文引入语义的概念，通过计算结点间的语义相似度，构建了基于语义的P2P局部性网络模型并设计了基于语义的推荐式搜索算法。该算法能根据搜索请求中的语义信息，把网络中的结点推荐给搜索源结点。系统实现表明，基于语义P2P的信息检索，能够减少搜索在P2P网络中的回路，从而减少P2P网络中的重复消息数量，提高了检索的效率。
In this paper,by introducing the concept of semantics and calculating the semantic similarity among peers,we set up the partial P2P network model which is based on semantics.On the basis of this model,we design the recommendation searching algorithm which is based on semantics.The algorithm require searching request include semantic information,which can be used to recommend peers to the requesters in the network.The performance of the system shows that the partial P2P network model and the related P2P recommendation searching algorithm can help to reduce the number of peers and the route of searching in P2P networks,which in turn lead to a decline of the replicated messages in P2P networks and the efficiency of searching process,
出处
《计算机光盘软件与应用》
2011年第7期8-9,共2页
Computer CD Software and Application
