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

: Kawase, R.

Schwabe, D. ; Association for Computing Machinery -ACM-, Special Interest Group on Hypertext, Hypermedia, and Web:
Proceedings of the 22nd international conference on World Wide Web companion : Rio de Janeiro, Brazil, May 13 - 17, 2013
New York: ACM, 2013
ISBN: 978-1-4503-2038-2
International Conference on World Wide Web (WWW) <22, 2013, Rio de Janeiro>
Fraunhofer FIT ()

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 theWeb and additionally exposes it in an homogeneous format.