A Semantic-Cluster Query Algorithm for Self-Organized P2P Networks
Huang Hong-bing · Computer Engineering and Science · 2010
Recently,more and more peers join in peer-to-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 self-organized 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.