OpenScout: harvesting business and management learning objects from the web of data

  • Authors:
  • Ricardo Kawase;Marco Fisichella;Katja Niemann;Vassilis Pitsilis;Aristides Vidalis;Philipp Holtkamp;Bernardo Nunes

  • Affiliations:
  • L3S Research Center, Leibniz Universität Hannover, Hannover, Germany;L3S Research Center, Leibniz Universität Hannover, Hannover, Germany;Fraunhofer FIT, Sankt Augustin, Germany;NCSR DEMOKRITOS, Athens, Greece;NCSR DEMOKRITOS, Athens, Greece;University of Jyväskyla, Jyväskyla, Finland;Department of Informatics - PUC-Rio, Rio de Janeiro, Brazil

  • Venue:
  • Proceedings of the 22nd international conference on World Wide Web companion
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Already existing open educational resources in the field of Business and Management have a high potential for enterprises to address the increasing training needs of their employees. However, it is difficult to act on OERs as some data is hidden. In the meanwhile, numerous repositories provide Linked Open Data on this field. Though, users have to search a number of repositories with heterogeneous interfaces in order to retrieve the desired content. In this paper, we present the strategies to gather heterogeneous learning objects from the Web of Data, and we provide an overview of the benefits of the OpenScout platform. Despite the fact that not all data repositories strictly follow Linked Data principles, OpenScout addressed individual variations in order to harvest, align, and provide a single end-point. In the end, OpenScout provides a full-fledged environment that leverages on the Linked Open Data available on the Web and additionally exposes it in an homogeneous format.