Augmenting the power of LSI in text retrieval: Singular value rescaling
As resource management becomes a hot research in P2P area, a fundamental problem is to efficiently locate the node that stores a particular data item. Most existing P2P system support only title-based and are limited in functionality when compared to today's search engines. In this paper, we present the design of a distributed P2P resource management system that supports semantic-based content searches of relevant documents. Nodes with semantically similar content are grouped into one semantic cluster, and self-organize a semantic network. Queries are routed to the appropriate clusters, increasing the chances that matching files will be found quickly. The result shows the effectivencess, efficiency of the proposed system.