• DocumentCode
    3643762
  • Title

    Towards Collaborative Metadata Enrichment for Adaptive Web-Based Learning

  • Author

    Robert Moro;Ivan Srba;Maros Uncik;M´ria Bielikov´;Mari´n Šimko

  • Author_Institution
    Inst. of Inf. &
  • Volume
    3
  • fYear
    2011
  • Firstpage
    106
  • Lastpage
    109
  • Abstract
    In recent years we have witnessed expansion of Web 2.0. Its main feature is allowing users´ collaboration in content creation using various means, e.g. annotations, discussions, wikis, blogs or tags. This approach has influenced also web-based learning, for which the term "Learning 2.0" has been introduced. In this paper we explore using tags in such systems. Tags can be used for improving of searching, categorization of web-documents, creating folksonomies and ontologies or enhancing the user-model. Another aspect of tags is that they act as a bridge between resources and users to create a social network. We integrated tags in a learning framework ALEF and experimentally evaluated their usage in education process.
  • Keywords
    "Collaboration","Tagging","Social network services","Semantics","Electronic learning","Data models","Ontologies"
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
  • Print_ISBN
    978-1-4577-1373-6
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2011.220
  • Filename
    6040817