• DocumentCode
    2688654
  • Title

    Survey on ontology-based case representation using rough-set

  • Author

    Chen, Qian ; Xiang, Yang ; Guo, Xin ; Wei, Wei

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    Case representation is groundwork in case retrieval and case-based reasoning system. The retrieval result will mainly depend on case representation. This paper presents a novel approach to model ontology-based case using rough set in a structuring way which can largely enhance the efficiency of case retrieval. It is proved through experiment that user can get much better result based on this approach.
  • Keywords
    case-based reasoning; ontologies (artificial intelligence); rough set theory; case retrieval; case-based reasoning system; ontology-based case representation; rough set; Approximation methods; Ontologies; Ontology; case representation; rough-set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5610496
  • Filename
    5610496
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2688654