• DocumentCode
    606185
  • Title

    Structural- based clustering technique of XML documents

  • Author

    Posonia, A. Mary ; Jyothi, V.L.

  • Author_Institution
    Dept. of Comput. Sci., Sathyabama Univ. of India, Chennai, India
  • fYear
    2013
  • fDate
    20-21 March 2013
  • Firstpage
    1239
  • Lastpage
    1242
  • Abstract
    Keyword search is an efficient technique for information retrieval and querying XML documents by the casual end users without understanding the complex syntax and semantics of the structured and semi structured data. This paper proposes a method of grouping structurally similar XML documents. A schematic description of a XML documents designed as a rooted ordered trees. Efficient clustering algorithm based on structural and semantic measure to estimate the similar XML document trees. The structural grouping of XML documents to furnish inherent clustering and better performance.
  • Keywords
    XML; pattern clustering; query processing; tree data structures; XML document querying; cIustering algorithm; casual end users; information retrieval; keyword search; rooted ordered trees; schematic description; semantic measure; semistructured data semantics; semistructured data syntax; structural-based clustering technique; structurally similar XML document grouping; structured data semantics; structured data syntax; Algorithm design and analysis; Databases; XML; Document Clustering; Information retrieval; XML database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-4921-5
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2013.6528941
  • Filename
    6528941