• DocumentCode
    2871570
  • Title

    Ontologies and Knowledge Aggregation in the Active Semantic Learning System

  • Author

    Szilagyi, Ioan ; Balog-Crisan, Radu ; Roxin, Ana ; Roxin, Ioan

  • Author_Institution
    ASELDI, Univ. of Franche-Comte, Montbeliard, France
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    388
  • Lastpage
    392
  • Abstract
    The construction of semantic-based learning systems depends on the development of ontologies and the capacity to integrate and exploit knowledge using semantic technologies, notably RDF and ontologies. In this paper we present some of the concepts and ontologies defined in the Active Semantic Learning System (Active SLS). The purpose is to obtain a learning system that is capable of aggregating knowledge from different sources from the web and exploiting that knowledge for the benefit of the learner.
  • Keywords
    computer aided instruction; knowledge representation languages; ontologies (artificial intelligence); semantic Web; RDF; active semantic learning system; knowledge aggregation; ontologies; semantic Web; Bridges; Context; Learning systems; Ontologies; Resource description framework; Semantics; Active SLS; LOM; OWL; RDF; User Profile; knowledge; ontologies; semantic learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
  • Conference_Location
    Athens, GA
  • ISSN
    2161-3761
  • Print_ISBN
    978-1-61284-209-7
  • Electronic_ISBN
    2161-3761
  • Type

    conf

  • DOI
    10.1109/ICALT.2011.123
  • Filename
    5992373