• DocumentCode
    2666759
  • Title

    Keyword searching in hypercubic manifolds

  • Author

    Lu, Yu-En ; Hand, Steven ; Lio, Pietro

  • Author_Institution
    Comput. Lab., Cambridge Univ., UK
  • fYear
    2005
  • fDate
    31 Aug.-2 Sept. 2005
  • Firstpage
    150
  • Lastpage
    151
  • Abstract
    The authors presented a novel approach for keyword searching for file sharing applications based on a simple hash function and extension to current distributed hash tables (DHT) topology. Depart from standard hash methods on DHT systems, this approach is to develop a locality preserving hash function so that objects containing the same keyword tend to have similar hash values under Hamming metric. It is shown that this hash function is locality preserving and proposes the embedding of keyword edges to facilitate query processing. As such, several class of problems in keyword search were reduced into a network multicast problem.
  • Keywords
    file organisation; peer-to-peer computing; query processing; Hamming metric; distributed hash table; file sharing; hypercubic manifold; keyword searching; query processing; Application software; Content based retrieval; Distributed computing; Keyword search; Laboratories; Peer to peer computing; Query processing; Standards development; Topology; Video sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Peer-to-Peer Computing, 2005. P2P 2005. Fifth IEEE International Conference on
  • Print_ISBN
    0-7695-2376-5
  • Type

    conf

  • DOI
    10.1109/P2P.2005.18
  • Filename
    1551033