• DocumentCode
    2528592
  • Title

    Enhancing Emerging Learning Objects with Contextual Metadata Using the Linked Data Approach

  • Author

    Svensson, Martin ; Kurti, Arianit ; Milrad, Marcelo

  • Author_Institution
    Center for Learning & Knowledge Technol. (CeLeKT), Linnaeus Univ., Växjo, Sweden
  • fYear
    2010
  • fDate
    12-16 April 2010
  • Firstpage
    50
  • Lastpage
    56
  • Abstract
    The latest developments in mobile technologies have increased the possibility for users to generate digital content at any location and time. In this paper we present our current research efforts related to the ability to enhance digital content that emerge when mobile devices are used to support different learning activities. We believe that these emerging learning objects should be enriched with contextual characteristics in a machine interoperable and interpretable manner in order to preserve the meaning, or semantics, of those features. There are a number of approaches to address this problem but in the present article we focus on exploring the potential added value of using Linked Data to depict emerging learning objects with contextual metadata. Our preliminary findings indicate that Linked Data offers a flexible approach for supporting important aspects of digital content related to data linkage, data merge and semantic interoperability.
  • Keywords
    computer aided instruction; meta data; mobile computing; contextual metadata; digital content; learning objects; linked data approach; machine interoperable manner; machine interpretable manner; mobile technologies; Context modeling; Couplings; Digital control; Educational technology; Machine learning; Mobile communication; Semantic Web; Terminology; Video sharing; XML; Digital content metadata; Emerging Learning Objects; Linked Data; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless, Mobile and Ubiquitous Technologies in Education (WMUTE), 2010 6th IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3992-8
  • Electronic_ISBN
    978-1-4244-6428-9
  • Type

    conf

  • DOI
    10.1109/WMUTE.2010.42
  • Filename
    5476537