2009
DOI: 10.1007/s12083-009-0058-2
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Efficient search based on content similarity over self-organizing P2P networks

Abstract: The advent of the World Wide Web has made an enormous amount of information available to everyone and the widespread use of digital equipment enables end-users (peers) to produce their own digital content. This vast amount of information requires scalable data management systems. Peer-to-peer (P2P) systems have so far been well established in several application areas, with file-sharing being the most prominent. The next challenge that needs to be addressed is (more complex) data sharing, management and query … Show more

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Cited by 22 publications
(9 citation statements)
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“…In [10], a super-peer based similarity search strategy is proposed for high-dimensional data. The data is indexed by only few super-peers.…”
Section: Ir In Hybrid Networkmentioning
confidence: 99%
“…In [10], a super-peer based similarity search strategy is proposed for high-dimensional data. The data is indexed by only few super-peers.…”
Section: Ir In Hybrid Networkmentioning
confidence: 99%
“…Other works address the problem of building SONs. Most of them assume a traditional semantic data scenario, where no content-searchable data is present [21][22][23][24][25][26][27][28], whereas others cluster peers only according to their data content [29][30][31][32][33].…”
Section: Related Workmentioning
confidence: 99%
“…The issue about the network construction and evolution is poorly investigated. Very recently a selforganizing super-peer architecture has been proposed in [31]. This work proposes a hierarchical clustering algorithm that allows peers with similar content to join the same super-peer.…”
Section: Related Workmentioning
confidence: 99%
“…Of course, this information merely describes a peer regarding its hardware resources. Consequently, reliability and response time are 2 major challenges of this architecture [25].…”
Section: Introductionmentioning
confidence: 99%