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

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Using community-generated contents as a substitute corpus for metadata generation
Authors: M. Meyer, Christoph Rensing, R. Steinmetz [edit item]
Citation: International Journal of Advanced Media and Communication 2 (1): 59-72. 2008.
Publication type: Journal article
Peer-reviewed: Yes
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Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Using community-generated contents as a substitute corpus for metadata generation is a publication by M. Meyer, Christoph Rensing, R. Steinmetz.


[edit] 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.

[edit] Research questions

"This paper proposes the use of community-generated substitute corpora for classification methods."

Research details

Topics: Text classification [edit item]
Domains: Information science [edit item]
Theory type: Design and action [edit item]
Wikipedia coverage: Other [edit item]
Theories: "Undetermined" [edit item]
Research design: Experiment [edit item]
Data source: Experiment responses, Wikipedia pages [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: Article [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article [edit item]
Wikipedia language: English, German [edit item]

[edit] Conclusion

""This paper has introduced a new approach for metadata generation based on using the Wikipedia encyclopedia as a substitute corpus. The test results that have been presented are very promising. The comparison of a learning resource with Wikipedia articles can be used for determining the topic of the learning resource." p. 71"

[edit] Comments

""This paper has introduced a new approach for metadata generation based on using the Wikipedia encyclopedia as a substitute corpus." p. 71"


Further notes[edit]

Facts about "Using community-generated contents as a substitute corpus for metadata generation"RDF feed
AbstractMetadata is crucial for reuse of Learning 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. keyword extraction of Learning Resources.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
Comments"This paper has introduced a new approach for metadata generation based on using the Wikipedia encyclopedia as a substitute corpus." p. 71
Conclusion"This paper has introduced a new approach "This paper has introduced a new approach for metadata generation based on using the Wikipedia encyclopedia as a substitute corpus. The test results that have been presented are very promising. The comparison of a learning resource with Wikipedia articles can be used for determining the topic of the learning resource." p. 71the topic of the learning resource." p. 71
Data sourceExperiment responses + and Wikipedia pages +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Using%2Bcommunity-generated%2Bcontents%2Bas%2Ba%2Bsubstitute%2Bcorpus%2Bfor%2Bmetadata%2Bgeneration%22 +
Has authorM. Meyer +, Christoph Rensing + and R. Steinmetz +
Has domainInformation science +
Has topicText classification +
Issue1 +
Pages59-72 +
Peer reviewedYes +
Publication typeJournal article +
Published inInternational Journal of Advanced Media and Communication +
Research designExperiment +
Research questionsThis paper proposes the use of community-generated substitute corpora for classification methods.
Revid11,024 +
TheoriesUndetermined
Theory typeDesign and action +
TitleUsing community-generated contents as a substitute corpus for metadata generation
Unit of analysisArticle +
Urlhttp://inderscience.metapress.com/content/78871j4q466g1j23/ +
Volume2 +
Wikipedia coverageOther +
Wikipedia data extractionDump +
Wikipedia languageEnglish + and German +
Wikipedia page typeArticle +
Year2008 +