• DocumentCode
    2383108
  • Title

    An IFTr approach to approximate XML query matching

  • Author

    Alzebdi, Mohammedsharaf ; Chountas, Panagiotis ; Atanassov, Krassimir

  • Author_Institution
    ECS, Univ. of Westminster, London, UK
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    2425
  • Lastpage
    2430
  • Abstract
    As XML is becoming the de facto standard for data representation and communication, especially on the web, a need has been identified for efficient XML querying techniques that can overcome the dilemma of heterogeneity in XML data sources. In this work, we propose our approach of using Intuitionistic Fuzzy Trees (IFTr) to achieve approximate XML query matching, making the query results include not just the XML data trees that exactly match the query, but also the ones that partially match it. We believe that our approach has a potential to return useful query answers while pertaining good performance.
  • Keywords
    XML; fuzzy set theory; query processing; tree data structures; trees (mathematics); IFTr approach; XML data sources; approximate XML query matching; data communication; data representation; intuitionistic fuzzy trees; Accuracy; Data mining; Ontologies; Pattern matching; Semantics; Vegetation; XML; Intuitionistic Fuzzy Trees; Pattern Trees; Tree Similarity (Inclusion);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6084041
  • Filename
    6084041