• DocumentCode
    2443271
  • Title

    An Ontology-Based Context Awareness Approach in Autonomous Mobile Learning

  • Author

    Wu, Jinhong

  • Author_Institution
    Coll. of Economic & Manage., Wuhan Univ. of Sci. & Eng., Wuhan, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1755
  • Lastpage
    1759
  • Abstract
    Context is important in personal knowledge and social knowledge construction process. Context awareness means being able to collect environment and learning resource information from the learner and surrounding equipment to provide learners with the context-related learning activities and content. The context elements, including intra object, inter-object, session, social systemic, economic techno-physical and history contexts, in mobile learning (M-learning) are discussed in detailed. And then context ontology is constructed according to these context elements based on ontology technology. Context reasoning is the key of context awareness. An ontology-based context reasoning approach which combined Case-based reasoning method with semantic knowledge organization approach is presented in the paper.
  • Keywords
    case-based reasoning; computer aided instruction; mobile computing; ontologies (artificial intelligence); ubiquitous computing; autonomous mobile learning; case based reasoning; context reasoning; context related learning activities; economic techno physical context; learning resource information; mobile learning; ontology based context awareness; ontology based context reasoning approach; personal knowledge construction process; semantic knowledge organization approach; social knowledge construction process; social systemic; Cognition; Context; Context modeling; Context-aware services; Knowledge based systems; Mobile communication; Ontologies; Context Awareness; Context Reasoning; Knowledge retrieval; Mobile learning; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.444
  • Filename
    5593083