• DocumentCode
    651604
  • Title

    SAS: Semantics Aware Search in P2P Networks

  • Author

    Himali, D. M. Rasanjalee ; Navathe, Shamkant B. ; Prasad, Sushil K.

  • Author_Institution
    Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
  • fYear
    2013
  • fDate
    8-11 July 2013
  • Firstpage
    178
  • Lastpage
    183
  • Abstract
    Resource management is very important yet challenging in large scale distributed systems like P2P networks. With more and more users incorporating semantic meta-data with their resources, the resource discovery mechanism should not only be able to scale well with the large number of information resources but also be capable of retrieving semantically relevant resources distributed in the P2P network with high accuracy and efficiency. In this paper we address these problems by proposing an ontology-based fully-decentralized peer clustering scheme where the network topology is optimized to perform efficient semantic query routing. The proposed semantic clustering scheme utilizes the structural relationships in ontology to organize peers into clusters based on the semantics of the resources they share. Performance evaluation demonstrates that our proposed approach can dramatically improve the search efficiency of unstructured P2P systems while keeping the communication cost at a comparable level compared with state-of-art unstructured P2P systems.
  • Keywords
    meta data; ontologies (artificial intelligence); pattern clustering; peer-to-peer computing; query processing; resource allocation; P2P network; SAS; information resources; large scale distributed systems; network topology; ontology-based fully-decentralized peer clustering scheme; resource discovery mechanism; resource management; resources semantics; search efficiency; semantic clustering scheme; semantic meta-data; semantic query routing; semantics aware search; structural relationships; unstructured P2P systems; Clustering algorithms; Ontologies; Peer-to-peer computing; Query processing; Semantics; Synthetic aperture sonar; Vectors; Peer-to-peer search; semantic P2P networks; semantic clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems Workshops (ICDCSW), 2013 IEEE 33rd International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4799-3247-4
  • Type

    conf

  • DOI
    10.1109/ICDCSW.2013.57
  • Filename
    6679884