• DocumentCode
    3500706
  • Title

    Ontology-Based Knowledge Retrieval

  • Author

    Duez-Rodriguez, H. ; Morales-Luna, Guillermo ; Olmedo-Aguirre, José Oscar

  • Author_Institution
    Comput. Sci., Cinvestav-IPN, Mexico City
  • fYear
    2008
  • fDate
    27-31 Oct. 2008
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    We deal with knowledge retrieval within the context of Virtual Learning Environment (VLE). A good VLE should deliver relevant learning materials to the learner at the most appropriate time to facilitate knowledge acquisition by Problem-Based Learning (PBL). In PBL, students should retrieve information about a problem by working in small groups with the guidance of a learning facilitator providing materials required through the problem solving process. The use of ontologies to represent domain knowledge improves the information management in a VLE because it enables automatic reasoning and facilitates the processes of knowledge searching and retrieving needed to promote the interest in problem solving. We propose an ontology-based for searching, discovering and publishing relevant learning materials as Learning Objects to help students in the PBL approach.
  • Keywords
    information retrieval; intelligent tutoring systems; knowledge acquisition; ontologies (artificial intelligence); automatic reasoning; domain knowledge; information management; information retrieval; intelligent tutoring system; knowledge acquisition; knowledge searching; ontology-based knowledge retrieval; problem-based learning; virtual learning environments; Artificial intelligence; Cities and towns; Collaborative work; Education; Information retrieval; Learning; Material storage; Ontologies; Problem-solving; Publishing; Intelligent Tutoring System; Knowledge Management; Ontology; Problem-based Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on
  • Conference_Location
    Atizapan de Zaragoza
  • Print_ISBN
    978-0-7695-3441-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2008.25
  • Filename
    4682438