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| − | |Abstract= | + | |Abstract=As the amount of available ontologies and their size grow, ontology reuse gains in importance. However, the online available formalized knowledge in many cases need a revision which can lead to a high manual effort. In this paper, we propose an approach to support the revision of ontologies. We show that our method reduces the manual effort measured in number of decisions that have to be made by an ontology engineer by up to 83%. |
| − | |Download= | + | |Download=ECAI2010.pdf, |
|Link=http://dx.doi.org/10.3233/978-1-60750-606-5-1097 | |Link=http://dx.doi.org/10.3233/978-1-60750-606-5-1097 | ||
|DOI Name=10.3233/978-1-60750-606-5-1097 | |DOI Name=10.3233/978-1-60750-606-5-1097 | ||
Version vom 27. Oktober 2010, 07:21 Uhr
Semi-Automatic Revision of Formalized Knowledge
Semi-Automatic Revision of Formalized Knowledge
Published: 2010
August
Buchtitel: ECAI
Seiten: 1097-1098
Verlag: IOS Press
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Kurzfassung
As the amount of available ontologies and their size grow, ontology reuse gains in importance. However, the online available formalized knowledge in many cases need a revision which can lead to a high manual effort. In this paper, we propose an approach to support the revision of ontologies. We show that our method reduces the manual effort measured in number of decisions that have to be made by an ontology engineer by up to 83%.
Download: Media:ECAI2010.pdf
Weitere Informationen unter: Link
DOI Link: 10.3233/978-1-60750-606-5-1097
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