Epidemic-style management of semantic overlays for content-based searching

Spyros Voulgaris*, Maarten van Steen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

64 Citations (Scopus)

Abstract

A lot of recent research on content-based P2P searching for file-sharing applications has focused on exploiting semantic relations between peers to facilitate searching. To the best of our knowledge, all methods proposed to date suggest reactive ways to seize peers' semantic relations. That is, they rely on the usage of the underlying search mechanism, and infer semantic relations based on the queries placed and the corresponding replies received. In this paper we follow a different approach, proposing & proactive method to build a semantic overlay. Our method is based on an epidemic protocol that clusters peers with similar content. It is worth noting that this peer clustering is done in a completely implicit way, that is, without requiring the user to specify his preferences or to characterize the content of files he shares.

Original languageEnglish
Title of host publicationEpidemic-Style Management of Semantic Overlays for Content-Based Searching
EditorsJosé C. Cunha, Pedro D. Medeiros
PublisherSpringer
Pages1143-1152
Number of pages10
ISBN (Electronic)978-3-540-31925-2
ISBN (Print)978-3-540-28700-1
DOIs
Publication statusPublished - 31 Oct 2005
Externally publishedYes
Event11th International Euro-Par Conference on Parallel Processing, Euro-Par 2005 - Lisbon, Portugal
Duration: 30 Aug 20052 Sep 2005
Conference number: 11

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume3648
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Euro-Par Conference on Parallel Processing, Euro-Par 2005
Abbreviated titleEuro-Par
CountryPortugal
CityLisbon
Period30/08/052/09/05

Keywords

  • Semantic relation
  • Cache size
  • Semantic view
  • Proximity function
  • Semantic neighbor

Fingerprint

Dive into the research topics of 'Epidemic-style management of semantic overlays for content-based searching'. Together they form a unique fingerprint.

Cite this