Validating Ontologies with OOPS!

  • María Poveda-Villalón
  • Mari Carmen Suárez-Figueroa
  • Asunción Gómez-Pérez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7603)


Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in different ontology engineering scenarios such as development and selection. This paper contributes to the ontology validation activity by proposing a web-based tool, called OOPS!, independent of any ontology development environment, for detecting anomalies in ontologies. This tool will help developers to improve ontology quality by automatically detecting potential errors.


ontology pitfalls ontology evaluation ontology validation 


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  1. 1.
    Aguado de Cea, G., Gómez-Pérez, A., Montiel-Ponsoda, E., Suárez-Figueroa, M.C.: Natural Language-Based Approach for Helping in the Reuse of Ontology Design Patterns. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 32–47. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  2. 2.
    Blomqvist, E., Gangemi, A., Presutti, V.: Experiments on Pattern-based Ontology Design. In: Proceedings of K-CAP 2009, pp. 41–48 (2009)Google Scholar
  3. 3.
    Burton-Jones, A., Storey, V.C., Sugumaran, V., Ahluwalia, P.: A Semiotic Metrics Suite for Assessing the Quality of Ontologies. Data and Knowledge Engineering 55(1), 84–102 (2005)CrossRefGoogle Scholar
  4. 4.
    Corcho, O., Gómez-Pérez, A., González-Cabero, R., Suárez-Figueroa, M.C.: ODEval: a Tool for Evaluating RDF(S), DAML+OIL, and OWL Concept Taxonomies. In: 1st IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2004), Toulouse, France, August 22-27 (2004)Google Scholar
  5. 5.
    Djedidi, R., Aufaure, M.-A.: ONTO-eVOaL an ontology evolution approach guided by pattern modeling and quality evaluation. In: Link, S., Prade, H. (eds.) FoIKS 2010. LNCS, vol. 5956, pp. 286–305. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  6. 6.
    Duque-Ramos, A., López, U., Fernández-Breis, J.T., Stevens, R.: A SQUaRE-based Quality Evaluation Framework for Ontologies. In: OntoQual 2010 - Workshop on Ontology Quality at the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010). CEUR Workshop Proceedings, Lisbon, Portugal, pp. 13–24 (2010) ISBN: ISSN 1613-0073Google Scholar
  7. 7.
    Fernández-López, M., Gómez-Pérez, A.: The integration of OntoClean in WebODE OntoClean method. In: Proceedings of the Evaluation of Ontology based Tools Workshop EON 2002 at 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2002), Spain (2002)Google Scholar
  8. 8.
    Flemming, A.: Assessing the quality of a Linked Data source. Proposal,
  9. 9.
    Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Modelling Ontology Evaluation and Validation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 140–154. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  10. 10.
    Gómez-Pérez, A.: Ontology Evaluation. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems, pp. 251–274. Springer (2004)Google Scholar
  11. 11.
    Noy, N.F., McGuinness, D.L.: Ontology development 101: A guide to creating your first ontology.Technical Report SMI-2001-0880, Standford Medical Informatics (2001)Google Scholar
  12. 12.
    Pammer, V.: PhD Thesis: Automatic Support for Ontology Evaluation Review of Entailed Statements and Assertional Effects for OWL Ontologies. Engineering Sciences. Graz University of TechnologyGoogle Scholar
  13. 13.
    Poveda, M., Suárez-Figueroa, M.C., Gómez-Pérez, A.: A Double Classification of Common Pitfalls in Ontologies. In: OntoQual 2010 - Workshop on Ontology Quality at the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010). CEUR Workshop Proceedings, Lisbon, Portugal, pp. 1–12 (2010) ISBN: ISSN 1613-0073Google Scholar
  14. 14.
    Presutti, V., Gangemi, A., David, S., Aguado, G., Suárez-Figueroa, M.C., Montiel-Ponsoda, E., Poveda, M.: NeOn D2.5.1: A Library of Ontology Design Patterns: reusable solutions for collaborative design of networked ontologies. NeOn project, FP6-27595 (2008)Google Scholar
  15. 15.
    Rector, A.L., Drummond, N., Horridge, M., Rogers, J.D., Knublauch, H., Stevens, R., Wang, H., Wroe, C.: OWL Pizzas: Practical Experience of Teaching OWL-DL: Common Errors & Common Patterns. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds.) EKAW 2004. LNCS (LNAI), vol. 3257, pp. 63–81. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Sabou, M., Fernandez, M.: Ontology (Network) Evaluation. In: Suárez-Figueroa, M.C., Gómez-Pérez, A., Motta, E., Gangemi, A. (eds.) Ontology Engineering in a Networked World, pp. 193–212. Springer (2012) ISBN 978-3-642-24793-4Google Scholar
  17. 17.
    Strasunskas, D., Tomassen, S.L.: The role of ontology in enhancing semantic searches: the EvOQS framework and its initial validation. Int. J. Knowledge and Learning 4(4), 398–414Google Scholar
  18. 18.
    Suárez-Figueroa, M.C.: PhD Thesis: NeOn Methodology for Building Ontology Networks: Specification, Scheduling and Reuse. Universidad Politécnica de Madrid, Spain (June 2010)Google Scholar
  19. 19.
    Welty, C., Guarino, N.: Supporting Ontological Analysis of Taxonomic Relationships. In: Data and Knowledge Engineering (September 2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • María Poveda-Villalón
    • 1
  • Mari Carmen Suárez-Figueroa
    • 1
  • Asunción Gómez-Pérez
    • 1
  1. 1.Ontology Engineering Group. Departamento de Inteligencia Artificial. Facultad de InformáticaUniversidad Politécnica de MadridSpain

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