• DocumentCode
    3310761
  • Title

    BitCube: a three-dimensional bitmap indexing for XML documents

  • Author

    Yoon, Jong P. ; Raghavan, Vijay ; Chakilam, Venu

  • Author_Institution
    Centre for Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    158
  • Lastpage
    167
  • Abstract
    We describe a new bitmap indexing based technique to cluster XML documents. XML is a new standard for exchanging and representing information on the Internet. Documents can be hierarchically represented by XML-elements. XML documents are represented and indexed using a bitmap indexing technique. We define the similarity and popularity operations available in bitmap indexes and propose a method for partitioning a XML document set. Furthermore, a 2-dimensional bitmap index is extended to a 3-dimensional bitmap index, called BitCube. We define statistical measurements in the BitCube: mean, mode, standard derivation, and correlation coefficient. Based on these measurements, we also define the slice, project, and dice operations on a BitCube. BitCube can be manipulated efficiently and improves the performance of document retrieval
  • Keywords
    Internet; database indexing; hypermedia markup languages; query processing; visual databases; BitCube; Internet; XML documents; document clustering; document partitioning; document retrieval; popularity operations; similarity operations; statistical measurements; three-dimensional bitmap indexing; Content based retrieval; Frequency; Image databases; Indexing; Information retrieval; Internet; Object oriented databases; Relational databases; Venus; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings. Thirteenth International Conference on
  • Conference_Location
    Fairfax, VA
  • ISSN
    1099-3371
  • Print_ISBN
    0-7695-1218-6
  • Type

    conf

  • DOI
    10.1109/SSDM.2001.938548
  • Filename
    938548