J4 ›› 2010, Vol. 32 ›› Issue (1): 39-43.doi: 10.3969/j.issn.1007130X.2010.
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摘要：
P2P网络中参与资源共享的节点日益增多，且呈海量趋势。如何在海量用户海量资源的情况下，查询整个P2P网络中的资源语义分布，计算网络中的所有语义聚类，是一个颇具挑战性的问题。针对这一问题，本文提出了一种面向自组织P2P网络的语义聚类查询算法SCQASPNSR。该算法可高效计算整个P2P网络中的语义聚类，为研究网络中资源语义分布、进行有效的知识发现，提供了有力支持。
关键词: P2P, 语义聚类, 自组织
Abstract:
Recently, more and more peers join in peerto peer networks to share resources. The number of peers is so huge that it is very challenging to query all the resources' semantic distribution and get all the semantics of resource clusters. In order to solve this problem, this paper presents a selforganized P2P network oriented cluster semantics query algorithm SCQASPNSR (a Semantic Cluster Query Algorithm for Self organized P2P Network by Social Relationships). SCQASPNSR can efficiently compute all the cluster semantics of the whole P2P network and provides a strong support for studying resources distribution, data mining and knowledge discovery.
Key words: P2P;semanticcluster;selforganizing
中图分类号:
TP301
朱桂明, 金士尧, 黄红兵. 自组织P2P网络的语义聚类查询算法[J]. J4, 2010, 32(1): 39-43.
SHU Gui-Meng, JIN Shi-Yao, HUANG Gong-Bing. A SemanticCluster Query Algorithm forSelfOrganized P2P Networks[J]. J4, 2010, 32(1): 39-43.
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链接本文: http://joces.nudt.edu.cn/CN/10.3969/j.issn.1007130X.2010.
http://joces.nudt.edu.cn/CN/Y2010/V32/I1/39
