Semantic search based on structured P2P

Xiang Song Hou*, Yuan Da Cao, Zhi Tao Guan, Yu Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Peer-to-Peer (P2P) overlays are appealing, since they can aggregate resources of end systems without relying on sophisticated infrastructures. Unfortunately current peer-to-peer systems either offer exact keyword match or provide inefficient text search methods through centralized indexing or flooding. In this paper, a semantic search system is proposed for structured P2P overlays without relying on message flooding. LSH is used to map semantically related text vector to nearly node, and a mechanism is carefully designed to cope with load balancing. Experimental results show that this is a steady system with high recall, good load balance.

Original languageEnglish
Pages (from-to)707-710
Number of pages4
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume31
Issue number3
Publication statusPublished - Mar 2009

Keywords

  • Locality-sensitive hashing
  • Peer to Peer (P2P)
  • Semantic search

Fingerprint

Dive into the research topics of 'Semantic search based on structured P2P'. Together they form a unique fingerprint.

Cite this