• DocumentCode
    2168859
  • Title

    Ontology Approach for E-Learning System

  • Author

    Liu Ming-Li ; Yu Chao ; Mu Dan

  • Author_Institution
    Inst. of Neusoft Inf. & Technol., Chengdu, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    E-Learning aims to deliver individualized, comprehensive, dynamic learning content in real time, aiding the development of communities of knowledge. The use of ontologies to model the knowledge of specific domains represents a key aspect for the integration of information coming from different sources, for supporting collaboration within virtual communities, for improving information retrieval, and more generally, it is important for reasoning on available knowledge. In the e-Learning field, ontologies can be used to model educational domains and to build, organize and update specific learning resources. One of the main problems of educational domains modeling is the lacking of expertise in the knowledge engineering field by the e-Learning actors. By incorporating ontology technologies, this paper presents an integrated approach to model educational domains by ontologies, and used to define the process of personalised e-Learning experiences, without any specific expertise in knowledge engineering.
  • Keywords
    computer aided instruction; ontologies (artificial intelligence); social networking (online); dynamic learning content; e-learning system; educational domain; information retrieval; knowledge engineering; ontology; virtual community; Collaboration; Communities; Electronic learning; OWL; Ontologies; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5577007
  • Filename
    5577007