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  Efficient peer-to-peer semantic overlay networks based on statistical language models

Linari, A., & Weikum, G. (2006). Efficient peer-to-peer semantic overlay networks based on statistical language models. In P2PIR '06: Proceedings of the International Workshop on Information Retrieval in Peer-to-peer Networks (pp. 9-16). New York, USA: ACM.

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 Creators:
Linari, Alessandro1, Author           
Weikum, Gerhard1, Author           
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1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: In this paper we address the query routing problem in peer-to-peer ({P2P}) information retrieval. Our system builds up on the idea of a {S}emantic {O}verlay {N}etwork ({SON}), in which each peer becomes neighbor of a small number of peers, chosen among those that are most similar to it. Peers in the network are represented by a statistical Language Model derived from their local data collections but, instead of using the non-metric Kullback-Leibler divergence to compute the similarity between them, we use a symmetrized and "metricized" related measure, the square root of the Jensen-Shannon divergence, which let us map the problem to a metric search problem. The search strategy exploits the triangular inequality to efficiently prune the search space and relies on a priority queue to visit the most promising peers first. To keep communications costs low and to perform an efficient comparison between Language Models, we devise a compression technique that builds on Bloom-filters and histograms and we provide error bounds for the approximation and a cost analysis for the algorithms used to build and maintain the {SON}.

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Language(s): eng - English
 Dates: 2007-04-042006
 Publication Status: Issued
 Pages: -
 Publishing info: New York, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314607
Other: Local-ID: C1256DBF005F876D-6216642A2948F841C125726700528F1C-LinariW06
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Title: Untitled Event
Place of Event: Arlington, Virginia, USA
Start-/End Date: 2006-11-11

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Title: P2PIR '06: Proceedings of the International Workshop on Information Retrieval in Peer-to-peer Networks
Source Genre: Proceedings
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Publ. Info: New York, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 9 - 16 Identifier: ISBN: 1-59593-527-4