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Organisation and management of shared documents in super-peer networks based semantic hierarchical cluster trees

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Abstract

A super-peer semantic network defines the semantic groups that client peers and their super peers use to connect with each other according to the semantic similarity of shared documents in peers. This will result in a query that can be evaluated locally thus reducing query process time and the amount of communication required to obtain related data. In this study, new algorithms are proposed to arrange shared documents in peers into hierarchical cluster tree structures, and links will be set up to connect semantically related super peers. During query evaluation, only related peers will be searched thus the complexity of computing is significantly reduced. Consideration is also given to automatically deciding the threshold for clustering and the construction and other essential operations for hierarchical cluster trees. The experiment results illustrate the features of the approach developed in this study.

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Acknowledgements

This work is supported by the Science and Technology Planning Projects of Hunan Province of China(Grant No. 2011FJ3247).

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Authors and Affiliations

  1. Department of Information and Computing Science, Changsha University, Changsha, China, 410003

    Yi-Hong Tan

  2. Brunel University, Room 76, EJ Building, Uxbridge, UB8 3PH, UK

    Kevin Lü

  3. School of Computer and Communication, Hunan University, Changsha, China, 410082

    Ya-Ping Lin

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  1. Yi-Hong Tan
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  2. Kevin Lü
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  3. Ya-Ping Lin
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Correspondence to Kevin Lü.

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Tan, YH., Lü, K. & Lin, YP. Organisation and management of shared documents in super-peer networks based semantic hierarchical cluster trees. Peer-to-Peer Netw. Appl. 5, 292–308 (2012). https://doi.org/10.1007/s12083-012-0123-0

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  • DOI: https://doi.org/10.1007/s12083-012-0123-0

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