Efficient semantic search in peer-to-peer systems

Aoying Zhou, Bo Ling, Zhiguo Lu, Weesiong Ng, Yanfeng Shu, Kian Lee Tan

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

While many P2P-based data sharing applications have been deployed, most of them just support semantics-free and coarse granularity (file level) sharing. Moreover, they are not efficient, either from user's view on service quality or in terms of resources utilization in the systems. In this paper, we present our solutions to support efficient semantic-based search in unstructured P2P systems. We propose a scheme to categorize and manage data in a peer based on the vector-space model. We also propose a scheme that allows peers with similar content to be clustered together. Finally, we examine an adaptive scheme to route queries. We conduct an extensive experimental study to evaluate the effectiveness of our solutions and obtain promising results.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsGuozhu Dong, Tang Changjie, Wei Wang
PublisherSpringer Verlag
Pages278-289
Number of pages12
ISBN (Electronic)9783540407157
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2762
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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