Using linked open data to improve the search of open educational resources for engineering students

In this paper, authors apply the Linked Data Design Issues to describe and retrieve information that is semantically related to open educational resources related to the Engineering Education, that are accessible via the OCW Higher Institutions. Linked data have the potential of create bridges between OCW data silos. To assess the impact of Linked Data in OCW, the authors present an interface of faceted search for open educational content. The authors demonstrate that OCW resource metadata related to engineering open courses can be consumed and enriched using datasets hosted by the LinkedOpenData cloud.

[1]  Edmundo Tovar Caro,et al.  : onastre: OER Development and Promotion. Outcomes of an International Research Projecton the OpenCourseWare Model , 2012, J. Univers. Comput. Sci..

[2]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[3]  Carole A. Goble,et al.  Why Linked Data is Not Enough for Scientists , 2010, 2010 IEEE Sixth International Conference on e-Science.

[4]  John G. Breslin,et al.  A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT , 2009, Int. J. Semantic Web Inf. Syst..

[5]  David Wiley,et al.  The four ‘R’s of openness and ALMS analysis: frameworks for open educational resources , 2010 .

[6]  Michael Hausenblas,et al.  Exploiting Linked Data to Build Web Applications , 2009, IEEE Internet Computing.

[7]  Christian Bizer,et al.  The Emerging Web of Linked Data , 2009, IEEE Intelligent Systems.

[8]  John G. Breslin,et al.  A URI is Worth a Thousand Tags , 2011, Semantic Services, Interoperability and Web Applications.

[9]  Nelson Piedra,et al.  Consuming and producing linked open data: the case of OpenCourseWare , 2014, Program.