| Paper Details: | Downloads: 1256 |
| Serial Number: | P1151545425
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| Title: | Evaluation of the Taxonomic Consistency of Ontologies based on WordNet Hierarchical and Lexical Relations
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| Authors: | Hafedh Nefzi and Mohamed Farah and Imed Riadh Farah
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| Abstract: | Presently, a considerable number of knowledge engineering research have focused on the automatic building of ontologies. However, the uncertainty of the techniques and eventual heuristics adopted during the building process has led researchers to explore methods for verifying and improving the quality of outputs. In this context, we propose a vision for checking the hierarchical structure of ontologies based on a set of knowledge support. In this intention, we unveil particular type of a specialization/generalization relationships errors likely to be encountered in ontologies. Then we present the related checking method and a structural measure for assessing the degree of accuracy of such relationships. In order to test our work, we applied our proposed method on an existing valid geographic objects ontology.
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| Keywords: | geographic objects, knowledge modeling, ontology building, Taxonomic structure, similarity measures, evaluation, quality
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 15
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| Issue: | 2
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| Submission Date: | 11/6/2015 12:00:00 AM
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| Review Date: | 12/18/2015 2:14:43 PM
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| Publishing Date: | 12/28/2015 1:23:19 AM
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| Article Downloads: | 1256
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