• DocumentCode
    1922334
  • Title

    A RDF description model for manipulating learning objects

  • Author

    Bouzeghoub, Amel ; Defude, Bruno ; Ammour, Salah ; Duitama, John-Freddy ; Leco, Claire

  • Author_Institution
    GET/INT, Evry, France
  • fYear
    2004
  • fDate
    30 Aug.-1 Sept. 2004
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    Our claim is that semantic metadata are required to allow a real reusing and assembling of learning objects. Our system is based on three models used to describe the knowledge domain, users and learning objects. In order to automatically process these models and make available basic reasoning capabilities, we have defined mappings to RDF. A prototype is being developed using Sesame, an RDF tool that supports the declarative query language SeRQL. This paper focuses on RDF mappings definition and how to use SeRQL to achieve the functionality required by our approach.
  • Keywords
    computer aided instruction; formal specification; inference mechanisms; meta data; query languages; RDF description model; RDF mappings; SeRQL; Sesame; declarative query language; learning object assembly; learning object manipulation; learning object reuse; reasoning capabilities; semantic metadata; Assembly; Database languages; Microstrip; OWL; Power system modeling; Proposals; Prototypes; Resource description framework; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7695-2181-9
  • Type

    conf

  • DOI
    10.1109/ICALT.2004.1357379
  • Filename
    1357379