• DocumentCode
    569306
  • Title

    Improving the formal concept analysis algorithm to construct domain ontology

  • Author

    Ta, Chien Duy Cong ; Thi, Tuoi Phan

  • Author_Institution
    Fac. of Comput. Sci. & Eng., HoChiMinh City Univ. of Technol., Ho Chi Minh City, Vietnam
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    74
  • Lastpage
    78
  • Abstract
    Although with different purposes, both Domain Ontology and Formal Concept Analysis (FCA) are models used to present modeling concepts. FCA uses a lattice in mathematics to present concepts based on objects and attributes, whereas domain Ontology also presents concepts and is used in various areas, e.g., biology, information retrieval, information extraction, etc. In this article we propose a method to build Domain Ontology based on FCA in order to support the information extraction task on a specified domain.
  • Keywords
    formal concept analysis; ontologies (artificial intelligence); FCA; attributes; biology; domain ontology; formal concept analysis algorithm; information extraction; information retrieval; modeling concepts; objects; Knowledge engineering; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge and Systems Engineering (KSE), 2012 Fourth International Conference on
  • Conference_Location
    Danang
  • Print_ISBN
    978-1-4673-2171-6
  • Type

    conf

  • DOI
    10.1109/KSE.2012.42
  • Filename
    6299401