• DocumentCode
    2283205
  • Title

    Indexing Method for Transitive Relationships of Product Information

  • Author

    Lee, Hyunja ; Shim, Junho

  • Author_Institution
    Dept of Comput. Sci., Sookmyung Women´´s Univ., Seoul
  • Volume
    3
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    For successfully using a RDBMS as repository for the product information, it is essential that the ontological query be processed efficiently and answered properly on RDBMS. The key point of well processing the ontological queries is whether the various semantic relationships among the concepts of the product ontology are likewise well-processed. Especially, the transitive relationships (i.e. ISA, component-of relationships, etc.) such as ancestors-descendents, parents-children, and taxonomy of products must be processed successfully. To processing the queries over transitive relationships, we suggest the efficient index using the numbering schemes.
  • Keywords
    database indexing; ontologies (artificial intelligence); query processing; relational databases; RDBMS; database indexing; numbering scheme; product information; product ontology; query processing; semantic relationship; transitive relationship; Computer science; Indexing; Instruction sets; Intelligent agent; Measurement units; OWL; Ontologies; Resource description framework; Taxonomy; Tree graphs; E-commerce; Ontology; Product; Tranasitive relationships; index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.190
  • Filename
    4740833