• DocumentCode
    2242490
  • Title

    An Ontological Approach for Semantic-Aware Learning Object Retrieval

  • Author

    Lee, Ming-che ; Tsai, Kun Hua ; Wang, Tzone I.

  • Author_Institution
    Dept. of Eng. Sci., National Chung Kung Univ., Tainan
  • fYear
    2006
  • fDate
    5-7 July 2006
  • Firstpage
    208
  • Lastpage
    210
  • Abstract
    SCORM LOM (sharable courseware object reference model learning object metadata) , enables the indexing, location, management, and searching of learning objects in a learning object repository by extended sharing and searching features. However, LOM has a deficiency in semantic-awareness capability. In most information retrieval systems, users´ cognitive ability on what they need is a basic system assumption. However, in e-learning systems, users may have no idea on what they want and what the learning objects´ metadata is. This paper presents an ontological approach for semantic-aware learning object retrieval. This approach is generic enough to be embedded to other LOM-based search mechanisms to achieve semantic-aware learning object retrieval
  • Keywords
    courseware; information retrieval; meta data; ontologies (artificial intelligence); elearning systems; feature searching; feature sharing; information retrieval systems; learning object repository; ontological approach; semantic-aware learning object retrieval; sharable courseware object reference model learning object metadata; Electronic learning; Encoding; Engineering management; Indexing; Inference algorithms; Information retrieval; Intelligent networks; Laboratories; Ontologies; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2006. Sixth International Conference on
  • Conference_Location
    Kerkrade
  • Print_ISBN
    0-7695-2632-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2006.1652407
  • Filename
    1652407