By Phillip C-Y. Sheu (auth.), Zhongzhi Shi, E. Mercier-Laurent, D. Leake (eds.)
International Federation for info Processing
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Additional resources for Intelligent Information Processing IV: 5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, China
Automatic transcription of the voice file into the text file by Dragon 7 , 3. Extraction of concepts and relations between concepts 4. Validation of the extracted concepts found in the previous stage by expert. The validated descriptors are registered in a data base and will be used to update the existing ontologies. The acquired voice information is distributed in fields of the data base such as: DENOMINATION, CATEGORY, MATERIAL, DESCRIPTION, and INSCRIPTION without constraining the speaker to say the name of the descriptive field.
1994. 7. A. F. C. Garcia, Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. Springer ISBN:1-85253-55j-3, 2001. 8. A. , Evaluation of Taxonomic Knowledge on Ontologies and KnowledgeBased Systems. Intl. , 1999. 9. C. Jelmini, and S. M-Maillet, OWL-based reasoning with retractable inference”, In RIAO Conference Proceedings 2004. 10. A. Maedche and S. Staab, Measuring similarity betwe- en ontologies. Proc. CIKM 2002. LNAI vol. 2473, 2002.
2. J. S. Seipel, Owls–Design Anomalies in Ontologies, 18th Intl. Floida Artificial Intelligence Research Society Conference (FLAIRS), pp 251-220, 2005. 3. C. Brewster et al, Data driven ontology evaluation. Proceedings of Intl. Conf. on Language Resources and Evaluation, Lisbon, 2004. 4. M. A. W. Noshairwan, N. Iftikhar,. DKP-OM: A Semantic Based Ontology Merger. In Proc. UCS). 2007a Evaluation of Ontologies and DL Reasoners 27 5. M. A. Qadir, W. Noshairwan, Semantic Inconsistency Errors in Ontologies.