• DocumentCode
    2009004
  • Title

    Discovering ontological semantics for reuse and sharing of learning objects in a contextual learning environment

  • Author

    Kiu, Ching-Chieh ; Lee, Chien-Sing

  • Author_Institution
    Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
  • fYear
    2005
  • fDate
    5-8 July 2005
  • Firstpage
    368
  • Lastpage
    370
  • Abstract
    Ontologies enable learning objects sharing and reuse in a contextual learning environment and provide better search and navigation of learning objects. Ontologies add semantics to content components, which provide context to learning objects. This paper presents the use of Formal Concept Analysis (FCA) to structure knowledge ontologically and the self-organizing map (SOM) to reduce the problem size. To gain better visualization of the intrinsic relationship between ontological concepts, k-means clustering is applied on the clustered SOM.
  • Keywords
    computer aided instruction; formal specification; ontologies (artificial intelligence); pattern clustering; self-organising feature maps; content component; contextual learning environment; formal concept analysis; k-means clustering; learning object reuse; learning object sharing; ontological semantics; self-organizing map; Clustering algorithms; Data mining; Information technology; Learning systems; Navigation; Ontologies; Packaging; Unsupervised learning; Visualization; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
  • Print_ISBN
    0-7695-2338-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2005.125
  • Filename
    1508702