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
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;
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
DOI :
10.1109/WMUTE.2010.42