• DocumentCode
    2314090
  • Title

    A fuzzy ontology approach to represent user profiles in e-learning environments

  • Author

    Ferreira-Satler, Mateus ; Romero, Francisco P. ; Menendez, Victor H. ; Zapata, Alfredo ; Prieto, Manuel E.

  • Author_Institution
    Dept. of Inf. Syst. & Technol., Univ. of Castilla-La Mancha (UCLM), Ciudad Real, Spain
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Ontologies represent a method of sharing and reusing knowledge on the semantic web. A fuzzy ontology is an extension of domain ontologies for solving the problems of uncertainty. This paper shows how a Fuzzy Ontology based approach can represent user profiles in e-learning environments. The ontological representation of the user profile enhances the performance in tasks such as filtering and information retrieval. An algorithm that allows automatically creating the construction of the ontology is also introduced. This approach has been integrated into a management tool for Learning Objects, in which each user profile is built from Learning Objects published by the user himself. The initial experiments confirm that the automatically obtained fuzzy ontology is a good representation of the user´s preferences. The experiment results also indicate that the approach is useful and warrants further research.
  • Keywords
    computer aided instruction; fuzzy set theory; information filtering; ontologies (artificial intelligence); semantic Web; e-learning environments; fuzzy ontology; information filtering; information retrieval; knowledge reuse; knowledge sharing; learning objects; semantic Web; user profiles; Construction industry; Context; Data mining; Electronic mail; Ontologies; Semantics; Weight measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584789
  • Filename
    5584789