• DocumentCode
    3626065
  • Title

    Ontology-Driven Development of Intelligent Educational Systems

  • Author

    Gordon Deline;Fuhua Lin;Dunwei Wen;Dragan Gasevic; Kinshuk

  • Author_Institution
    School of Computing and Information Systems, Athabasca University, Alberta, Canada, T9S 3A3. gdeline@mikatek.com, oscarl@athabascau.ca
  • fYear
    2007
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    Despite the opportunities to improve software development though the use of ontologies, there have been few reports giving guidelines for developing such systems based on real case studies. This paper explores what approach to Ontology-driven Software Development (ODD) would be suited for the development of intelligent educational systems such as Athabasca University´s eAdvisor -an intelligent academic advising system. With the goal of exploiting synergies with proven software engineering practices to meet the needs of both those who develop the system and those who govern projects, baseline processes for ODD of eAdvisor have been developed. Initial analysis of the feasibility of these baseline processes from performance and complexity viewpoints took place using qualitative analysis of focused interviews. ODD is especially appropriate for the development of intelligent systems with an ontology-based architecture and can leverage familiar and proven software engineering tools and techniques.
  • Keywords
    "Ontologies","Intelligent systems","Software engineering","Computer architecture","Programming","Application software","Semantic Web","Guidelines","Performance analysis","Internet"
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 2007. PacRim 2007. IEEE Pacific Rim Conference on
  • ISSN
    1555-5798
  • Print_ISBN
    978-1-4244-1189-4
  • Electronic_ISBN
    2154-5952
  • Type

    conf

  • DOI
    10.1109/PACRIM.2007.4313170
  • Filename
    4313170