A semantic-based P2P resource management system

Authors:
Yang Lu;Xue Wang
Affiliations:
School of Software, China University of Geosciences, Beijing, China;School of Software, China University of Geosciences, Beijing, China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
Year:
2010

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Abstract

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 effectiveness, efficiency of the proposed system.