Deriving Ontology-Based Metadata for E-Learning form the ACM Computing Curricula

Saini, Paramjeet and Ronchetti, Marco (2003) Deriving Ontology-Based Metadata for E-Learning form the ACM Computing Curricula. UNSPECIFIED. (In Press)

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    Using metadata is very important for achieving best results in finding and reusing e-learning material. Metadata are however effective only if there is a common agreement on the terminology used. Defining an ontology is a way out, but creating a good ontology and reaching a consensus on it is a non trivial task. In this paper, we claim that an ontology for Computer Science can be extracted as a side-result from the work made by an ACM committee on Computer Science curricula. We extracted the ontology, and we suggest that it could/should be used for defining metadata on e-learning material that is concerned with the Computer Science domain. We provide both an XML and a DAML+OIL representation of the ontology. Also, we suggest a possible way to navigate the metadata that allows enriching each lesson with a set of related material automatically extracted from the repository of e-learning material. Finally, we discuss possible additional uses of the ontology, and the exportability of our approach to other disciplines.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    Uncontrolled Keywords: e-learning, metadata, ontology
    Additional Information: Paper accepted at the IADIS e-Society Conference, Lisboa 3-6 June 2003
    Report Number: DIT-03-017
    Repository staff approval on: 09 May 2003

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