Semantic peer-to-peer overlay for efficient content locating

  • Authors:
  • Hanhua Chen;Hai Jin;Xiaomin Ning

  • Affiliations:
  • Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China

  • Venue:
  • APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
  • Year:
  • 2006

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Abstract

The decentralized structure together with the features of self-organization and fault-tolerance makes peer-to-peer network a promising information-sharing model. However, the efficient content-based location remains a challenge of large scale peer-to-peer network. In this paper we present SemreX, a semantic overlay for desktop literature documents sharing in peer-to-peer networks. We present a semantic overlay algorithm by which peers are locally clustered together according to their semantic similarity and long-range connections are rewired for short-cut in the peer-to-peer networks. Experiment results show that routing in the semantic overlay greatly improves the recall of search as well as reduces routing hops and messages.