SemreX: a semantic peer-to-peer system for literature documents retrieval

  • Authors:
  • Hai Jin;Hanhua Chen;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:
  • ASWC'06 Proceedings of the First Asian conference on The Semantic Web
  • Year:
  • 2006

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Abstract

The decentralized structure together with the features of self-organ-ization and fault-tolerance makes peer-to-peer network a promising model for information sharing However, efficient content-based searching remains a serious challenge of large scale peer-to-peer network In this paper, we present SemreX, a peer-to-peer system for sharing literature documents Two main features of SemreX networks are 1) semantic supported literature document retrieval function is provided and 2) peers are self-organized into a semantic overlay according to the similarity of documents which belongs to different topics and queries are routed to semantically similar peers to reduce messages Experiment results show that SemreX improves search efficiency for literature document retrieval in peer-to-peer network.