International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
3.9
CiteScore

IJIET 2016 Vol.6(1): 58-64
doi: 10.7763/IJIET.2016.V6.659

The Opportunity of Linked Data for the European Higher Education Area

Guillermo Vega-Gorgojo , Thanassis Tiropanis , David E. Millard

Abstract

The european higher education area (EHEA) aims to create a more comparable, compatible and coherent space of Higher Education in Europe. After a decade of reforms, most of the required instruments are already in place, so the next years are key to complete the implementation and consolidation of the EHEA. However, data challenges pose a threat to pivotal EHEA processes such as credit recognition that require institutions to cooperate and integrate their datasets scattered across diverse repositories in multiple data formats. Linked Data principles and practices have the potential to address such difficulties, as demonstrated with the emergence of a global data space –the Web of Data. This paper first discusses the benefits of Linked Data for the emergent EHEA, devising a new set of Linked Data-driven scenarios that leverage current EHEA processes. Further, a set of preliminary Linked Data deployments is examined to assess the advantages and identify the challenges ahead in the EHEA landscape.

Keywords

  • European higher education area (EHEA)
  • linked data
  • semantic web
  • technology-enhanced learning (TEL)
659-JR156

How to Cite

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Guillermo Vega-Gorgojo, Thanassis Tiropanis, and David E. Millard, "The Opportunity of Linked Data for the European Higher Education Area," International Journal of Information and Education Technology, vol. 6, no. 1, pp. 58-64, 2016. https://doi.org/10.7763/IJIET.2016.V6.659

Copyright & License

Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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