• DocumentCode
    2066467
  • Title

    Knowledge Representation for potential field of study recognition

  • Author

    Mappe, Santy Arbi A. ; Wongthongtham, Pornpit

  • Author_Institution
    Sch. of Inf. Syst., Curtin Univ., Perth, WA, Australia
  • fYear
    2013
  • fDate
    26-29 Aug. 2013
  • Firstpage
    160
  • Lastpage
    163
  • Abstract
    Knowledge Representation is a part of Artificial Intelligence that focuses on the formalism design. The knowledge about a specific domain is expressed epistemologically and computationally. One of the main reasons for this is that knowledge must be represented so as to easily identify the structure and characteristics of classes and the relationship among them. This paper will focus on the systematic investigation of ontology´s formula that is presented by Description logics. We believe that Description logics be able to sketch, define, integrate and maintain the ontology.
  • Keywords
    artificial intelligence; formal logic; ontologies (artificial intelligence); artificial intelligence; description logics; formalism design; knowledge representation; ontology formula; potential field; study recognition; systematic investigation; Blood; Conferences; Educational institutions; Ontologies; Unified modeling language; artificial intelligence; description logic; field of study; knowledge representation; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on
  • Conference_Location
    Bali
  • Type

    conf

  • DOI
    10.1109/TALE.2013.6654420
  • Filename
    6654420