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    UNIVERSAL - Design and Implementation of a Highly Flexible E-Market-Place for Learning Resources

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    This paper illustrates the design and implementation of a highly flexible, electronic market-place for learning resources called UNIVERSAL. Integrating learning resource related data in a (semi-)automated way demands a flexible data model. The paper elaborates on components of an educational market-place model such as learning resources, agents, rights and delivery systems. The central data formats of UNIVERSAL are based on RDF. We argue that the flexibility of RDF provides a high level of adaptability to future changes in the data model and a maximum level of openness. UNIVERSAL aims at contributing to the idea of a semantic web of universities, pursuing the vision of having data on the web defined and linked in such a way that it can be used by machines not just for display purposes, but for automation, integration and reuse of data across various applications.

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    Description

    Title : UNIVERSAL - Design and Implementation of a Highly Flexible E-Market-Place for Learning Resources
    Author(s) : Stefan Brantner, Thomas Enzi, Susanne Guth, Gustaf Neumann, Bernd Simon
    Abstract : This paper illustrates the design and implementation of a highly flexible, electronic market-place for learning resources called UNIVERSAL. Integrating learning resource related data in a (semi-)automated way demands a flexible data model. The paper elaborates on components of an educational market-place model such as learning resources, agents, rights and delivery systems. The central data formats of UNIVERSAL are based on RDF. We argue that the flexibility of RDF provides a high level of adaptability to future changes in the data model and a maximum level of openness. UNIVERSAL aims at contributing to the idea of a semantic web of universities, pursuing the vision of having data on the web defined and linked in such a way that it can be used by machines not just for display purposes, but for automation, integration and reuse of data across various applications.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2001

    Affiliations WU Wien
    Editors : R Hartley, T Kinshuk, T Okamoto, J P Klus
    Conference_title : IEEE International Conference on Advanced Learning Technologies
    Publisher : IEEE Computer Society
    Pages : 215-218
    Url : http://www.wu-wien.ac.at/usr/wi/bsimon/publikationen/pap-151-Sim.pdf

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    Gustaf's Peer Evaluation activity

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