A Quality Assurance Framework for Ontology Construction and Refinement

  • Mamoru Ohta
  • Kouji Kozaki
  • Riichiro Mizoguchi
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 86)


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.


building ontologies ontology evaluation development support system 


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  1. 1.
    Smith, B., et al.: The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature Biotechnology 25, 1251–1255 (2007)CrossRefGoogle Scholar
  2. 2.
  3. 3.
    Kumazawa, T., et al.: Toward Knowledge Structuring of Sustainability Science Based on Ontology Engineering. Sustainability Science 4(1), 99–116 (2009)CrossRefGoogle Scholar
  4. 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. 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. 6.
    JUNG: Java Universal Network/Graph Framework,
  7. 7.
  8. 8.
  9. 9.
  10. 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
  11. 11.
    Dimitrova, V., et al.: Involving Domain Experts in Authoring OWL Ontologies. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 1–16. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  12. 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

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mamoru Ohta
    • 1
  • Kouji Kozaki
    • 1
  • Riichiro Mizoguchi
    • 1
  1. 1.The Institute of Scientific and Industrial Research (ISIR)Osaka UniversityIbarakiJapan

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