• DocumentCode
    3232262
  • Title

    A study of ontology-based incremental clustering technique in semantic Web

  • Author

    Kim, Je-Min ; Park, Young-Tack

  • Author_Institution
    Dept. of Comput. Sci., Soongsil Univ., Seoul, South Korea
  • fYear
    2005
  • fDate
    22-26 Aug. 2005
  • Abstract
    Clustering is defining inter relationship of an ordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. The complex metadata description generated on the basis of predefined ontologies serve as perfect input data for clustering. In this paper, we propose an approach for clustering ontology based metadata. Main contribution of this paper is the definition of evaluation function to measure ontology based metadata and study using this evaluation function within hierarchical clustering algorithm.
  • Keywords
    ontologies (artificial intelligence); pattern clustering; semantic Web; evaluation function; grouped information; hierarchical clustering algorithm; incremental clustering; ontology based metadata; semantic Web; systematic data grouping; Clustering algorithms; Computer science; HTML; Humans; OWL; Ontologies; Semantic Web; Software agents; Web sites; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Web Services Practices, 2005. NWeSP 2005. International Conference on
  • Print_ISBN
    0-7695-2452-4
  • Type

    conf

  • DOI
    10.1109/NWESP.2005.11
  • Filename
    1592439