OpenScout

Harvesting business and management learning objects from the web of data

authored by

Ricardo Kawase, Marco Fisichella, Katja Niemann, Vassilis Pitsilis, Aristides Vidalis, Philipp Holtkamp, Bernardo Pereira Nunes

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 theWeb and additionally exposes it in an homogeneous format.

Organisation(s)

L3S Research Centre

External Organisation(s)

National Academy of Science and Engineering (acatech)
Fraunhofer Institute for Applied Information Technology (FIT)
National Centre For Scientific Research Demokritos (NCSR Demokritos)
University of Jyvaskyla
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)

Type

Conference contribution

Pages

445-450

No. of pages

6

Publication date

2013

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Networks and Communications