A Quality Assurance Framework for Ontology Construction and Refinement
The quality of an ontology is an important factor that determines its utility. In order to assure its quality, in addition to form-based evaluation as to whether the ontology being constructed is written properly in terms of its form (syntax), content-based evaluation as to whether the ontology properly represents the target domain, whether the ontology actually serves for problem solving, etc. is also necessary. In this study, we investigate a framework for quality assurance of ontologies in Hozo, which is an environment for building/using ontologies that are being developed by the authors. As form-based evaluation, Hozo provides various assistance functions for properly editing an ontology in compliance with the rules. As contentbased evaluation, Hozo introduce a method for supporting ontology evaluation thorough conceptual maps which are generated according to the user’s viewpoint.
Keywordsbuilding ontologies ontology evaluation development support system
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- 2.Hozo, http://www.hozo.jp
- 4.Hirota, T., Kozaki, K., Mizoguchi, R.: Divergent Exploration of an Ontology. In: ISWC 2008, Poster & Demo Notes of the 7th International Semantic Web Conference (2008)Google Scholar
- 5.Mizoguchi, R., et al.: An Advanced Clinical Ontology. In: Proc. of International Conference on Biomedical Ontology, ICBO, pp. 119–122 (2009)Google Scholar
- 6.JUNG: Java Universal Network/Graph Framework, http://jung.sourceforge.net/
- 8.RacerPro, http://www.racer-systems.com/
- 9.Pellet, http://clarkparsia.com/pellet/
- 10.Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., Giannopoulou, E.: Ontology Visualization Methods–A Survey. ACM Computing Surveys (CSUR), Surv. 39(4), Paper 10 (2007)Google Scholar
- 12.Alani, H.: TGVizTab: An ontology visualization extension for Protégé. In: Proc. of Knowledge Capture (K–Cap 2003), Workshop on Visualization Information in Knowledge Engineering (2003)Google Scholar