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    Publicado el 11.12.2012 por Pablo Hermoso de Mendoza González

    The OU Linked Open Data:  Production and Consumption
    Fouad Zablith, Miriam Fernandez and Matthew Rowe Knowledge Media Institute (KMi), The Open University Walton Hall, Milton Keynes, MK7 6AA, United Kingdom ff.zablith, m.fernandez, m.c.roweg@open.ac.uk

     The aim of this paper is to introduce the current efforts toward the release and explotation of The Open University's (OU) Linked
    Open Data (LOD). We introduce the work that has been done within the LUCERO project in order to select, extract and structure subsets of information contained within the OU data sources and migrate and expose this information as part of the LOD cloud. To show the potential of such exposure we also introduce three dierent prototypes that exploit this new educational resource: (1) the OU expert search system, a tool focused on nding the best experts for a certain topic within the OU sta; (2) the Buddy Study system, a tool that relies on Facebook information to identify common interest among friends and recommend potential
    courses within the OU that `buddies' can study together, and; (3) Linked OpenLearn, an application that enables exploring linked courses, Podcasts and tags to OpenLearn units. Its aim is to enhance the browsing experience for students, by detecting relevant educational resources on they while reading an OpenLearn unit.


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    Publicado el 29.10.2012 por Pablo Hermoso de Mendoza González

    Mathieu d´Aquin. Open University. Semantic Web

    Mathieu d'Aquin is a research fellow at the Knowledge Media institute (KMi) of the Open University in Milton Keynes, UK. His research activities focus on the Semantic Web, and especially on methods and tools to build intelligent applications relying on formalised knowledge distributed online. Mathieu has in particular been involved in the development of the Watson Semantic Web search engine, and in many applications of its APIs.