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Production and consumption of university Linked Data
Authors:Fouad Zablith  Miriam Fernandez  Matthew Rowe
Institution:1. Olayan School of Business, American University of Beirut (AUB), P.O. Box 11-0236, Riad El Solh, Beirut 1107 2020, Lebanonfz13@aub.edu.lb;3. Knowledge Media Institute (KMi), The Open University, Walton Hall, Milton Keynes MK7 6AA, UK;4. School of Computing and Communications, Infolab 21, Lancaster University, Lancaster, LA1 4WA, UK
Abstract:Linked Data increases the value of an organisation's data over the web by introducing explicit and machine processable links at the data level. We have adopted this new stream of data representation to produce and expose existing data within The Open University (OU) as Linked Data. We present in this paper our approach for producing the data, based on well-defined workflows at the organisation as well as the technical levels. We also discuss the data already available to consume, and show the potential improvements that Linked Data brings by presenting three applications: (1) the OU Expert Search system for finding experts at the OU based on a specified topic of interest, (2) the Social Study application to identify potential courses for students based on their Facebook profile information, and (3) the Linked OpenLearn application that helps students identify related media and courses to OpenLearn units at the OU. Before concluding the paper, we show the potential benefits and an approach towards interlinking data beyond The Open University with other universities, using a common categorisation scheme.
Keywords:Linked Data  semantic web  open learn  education  expert search  social networks
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