• DocumentCode
    240797
  • Title

    Ontological Modelling for Intelligent E-learning

  • Author

    Aggelopoulou, Nikolitsa ; Pierrakeas, Christos ; Artikis, Alexander ; Kalles, Dimitris

  • Author_Institution
    Educ. Content, Methodology & Technol. Lab. (e-CoMeT Lab.), Hellenic Open Univ. (HOU), Patras, Greece
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    716
  • Lastpage
    718
  • Abstract
    The evolution of scientific research as well as the development of the relevant technologies and methodologies in the area of distance learning fall within the scope of the objectives the Hellenic Open University whose mission is to provide distance education at both undergraduate and postgraduate level. To develop intelligent e-learning applications, we capture the semantics of the Computer Science module concepts with the use of ontologies, by following a specific methodology to build domain knowledge ontologies. We illustrate our approach by presenting the construction of the ontologies of the Artificial Intelligence & Expert Systems module.
  • Keywords
    computer science education; distance learning; educational courses; expert systems; ontologies (artificial intelligence); Hellenic open university; artificial intelligence; computer science module concepts; distance education; distance learning; domain knowledge ontologies; expert systems module; intelligent e-learning applications; ontological modelling; postgraduate level; scientific research evolution; undergraduate level; Educational institutions; Electronic learning; Expert systems; OWL; Ontologies; Lifelong Learning; artificial intelligence applications; distance education; ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/ICALT.2014.208
  • Filename
    6901585