• DocumentCode
    649894
  • Title

    An ontological approach to identify expert knowledge in academic institution

  • Author

    Kalaiselvi, K. ; Balamurugan, P.S.

  • Author_Institution
    Karpagam Univ., Coimbatore, India
  • fYear
    2013
  • fDate
    3-3 July 2013
  • Firstpage
    120
  • Lastpage
    122
  • Abstract
    Recently there has been a growing interest in treating knowledge as a significant resource. Knowledge is essentially defined as an asset in an academic institution. Due to the large repository of the Intranet, searching the experts in various field is difficult. Availability of the data in the institutional repository will be in different formats (pdf, ppt, excel etc). In order to organize the data, a common terminology should be adopted. Ontology is used to capture the domain knowledge. With this objective personalized ontology is constructed. It enables the institutional heads to identify the experts in specific domain in order to enhance the growth of the academic institution in the competitive world.
  • Keywords
    educational administrative data processing; educational institutions; ontologies (artificial intelligence); academic institution; domain knowledge; expert knowledge identification; institutional repository; intranet; ontological approach; personalized ontology; Expert Knowledge; Generic Ontologies; Ontological;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Current Trends in Engineering and Technology (ICCTET), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-2583-4
  • Type

    conf

  • DOI
    10.1109/ICCTET.2013.6675924
  • Filename
    6675924