• DocumentCode
    3540252
  • Title

    Condensing the semantic (ontological concepts) of modeling diagrams: Is it possible?

  • Author

    Kayed, Ahmad ; Innab, Nisreen Mohammad ; Hirzallah, Nael

  • Author_Institution
    Comput. Sci., Fahad Bin Sultan Univ., Tabuk, Saudi Arabia
  • fYear
    2009
  • fDate
    4-6 Aug. 2009
  • Firstpage
    429
  • Lastpage
    432
  • Abstract
    Ontology can make modeling diagrams more efficient, adaptive, and smarter by explicitly specifying their concepts. This paper is an effort to extract concepts for modeling diagrams and condense them into small numbers. This paper claims that many modeling diagrams (56 diagrams) shared a small number of concepts. An experiment has been conducted to extract concepts for 56 diagrams. The result shows that a small number of concepts are frequently used to describe these diagrams. Condensing the semantic of these diagrams into those concepts and standardizing their definitions will achieve a common understanding for any modeling diagrams.
  • Keywords
    ontologies (artificial intelligence); semantic networks; modeling diagrams; ontological concepts; semantic condensing; Application software; Business; Data mining; Information systems; Ontologies; Programming; Scattering; Software engineering; Software systems; Vocabulary; Ontology; concept; modeling diagrams;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-4456-4
  • Electronic_ISBN
    978-1-4244-4457-1
  • Type

    conf

  • DOI
    10.1109/ICADIWT.2009.5273981
  • Filename
    5273981