• DocumentCode
    1923704
  • Title

    Ontology-based interface adaptivity in Web-based learning systems

  • Author

    Peñarrubia, Arturo ; Fernández-Caballero, Antonio ; González, Pascual ; Botella, Federico ; Grau, Antonio ; Martínez, Oscar

  • Author_Institution
    Instituto de Investigacion en Informatica de Albacete, Univ. de Castilla-La Mancha, Albacete, Spain
  • fYear
    2004
  • fDate
    30 Aug.-1 Sept. 2004
  • Firstpage
    435
  • Lastpage
    439
  • Abstract
    Along this document, we expose how user interface adaptivity principles may contribute to improve present Web learning systems. If we are able to establish some student features, based on the documents he has consulted, we can easily guide him through our Web site. In order to collect that information, the Web site considers the metadata associated with each document. Once this information has been obtained, the interface recommends the site documents that are the most tailored to the student´s interests. Our proposal consists in mixing the main ideas inherent to user profiling, semantic Web, metadata, and ontologies. The framework supporting the initiative is also introduced in this paper.
  • Keywords
    computer aided instruction; information filtering; meta data; ontologies (artificial intelligence); semantic Web; user interfaces; Web-based learning systems; metadata; ontology-based interface adaptivity; semantic Web; site document recommendation; user interface adaptivity; user profiling; Guidelines; Human computer interaction; Laboratories; Learning systems; Navigation; Ontologies; Operations research; Proposals; Software engineering; User interfaces;
  • 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.2004.1357452
  • Filename
    1357452