Using community-generated contents as a substitute corpus for metadata generation

Authors:
M. Meyer;C. Rensing;R. Steinmetz
Affiliations:
SAP AG, SAP Research CEC Darmstadt, Bleichstr. 8, 64283 Darmstadt, Germany.;Multimedia Communications Lab, Technical University Darmstadt, Merckstr. 25, 64283 Darmstadt, Germany.;Multimedia Communications Lab, Technical University Darmstadt, Merckstr. 25, 64283 Darmstadt, Germany
Venue:
International Journal of Advanced Media and Communication
Year:
2008

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Abstract

Metadata is crucial for reuse of Learning Resources. However, in the area of e-Learning, suitable training corpora for automatic classification methods are hardly available. This paper proposes the use of community-generated substitute corpora for classification methods. As an example for such a substitute corpus, the free online Encyclopaedia Wikipedia is used as a training corpus for domain-independent classification and keyword extraction of Learning Resources.