Skip to main content

Comparative Methodologies for Evaluation of Ontology Design

  • Conference paper
  • First Online:
Advances in Computational Intelligence (MICAI 2020)

Abstract

In general, it is advisable to evaluate ontology designed quality before developing an Information System based on Ontologies. Principles of ontology design, focus on ontologies design that can be reusable, easy-to-use, maintain and update over time. In this work a model for quality verification of the ontology design is proposed, it is based on ontology design principles of [4, 20, 22]. Methodology starts with an analysis of design principles, then principles are grouped into verification or evaluation collections and following verification techniques was established: 1) minimalist; 2) consistency; 3) flexibility; 4) standardization; 5) redundancy; and 6) efficiency. The main contribution of this work is a qualitative and quantitative model for the verification of an ontology applying design principles. As an application case, quality evaluation of ontological model for OntoPAA is performed, results show that ontology evaluated complies with design techniques that guarantee an adequate level of quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. 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). https://doi.org/10.1007/11762256_13

    Chapter  Google Scholar 

  2. Gómez-Pérez, A.: Ontology evaluation. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, pp. 251–274. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-540-24750-0_13

    Chapter  Google Scholar 

  3. Soares, A., Fonseca, F.: Ontology-driven information systems: at development time. Int. J. Comput. Syst. Signals 8(2), 50–59 (2007)

    Google Scholar 

  4. Smith, B., Köhler, J., Munn, K., Rüegg, A., Skusa, A.: Quality control for terms and definitions in ontologies and taxonomies. BMC Bioinform. 7(212), 1–12 (2006)

    Google Scholar 

  5. Yildiz, B., Miksch, S.: Ontology-Driven Information Systems: Challenges and Requirements (2007)

    Google Scholar 

  6. Fonseca, F., Martin, J.: Learning the differences between ontologies and conceptual schemas through ontology-driven information systems. JAIS J. Assoc. Inf. Syst. 8(2), 129–142 (2007). Special Issue on Ontologies in the Context of IS

    Google Scholar 

  7. Mostowfi, F., Fotouhi, F.: Improving quality of ontology: an ontology transformation approach. In: Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW 2006) (2006)

    Google Scholar 

  8. Barchini, G.E., Álvarez, M.M., Palliotto, D., Fortea G.: Evaluación de la calidad de los sistemas de información basados en ontologías. In: IX Congress ISKO-SPAIN, Valencia, España, pp. 268–288 (2009)

    Google Scholar 

  9. Barchini, G.E., Álvarez, M.M.: Dimensiones e indicadores de la calidad de una ontología. Revista Avances en Sistemas e Informática 7(1), 29–38 (2010)

    Google Scholar 

  10. Hartmann, J., et al.: Methods for ontology evaluation. Knowledge Web (2004)

    Google Scholar 

  11. Guarino, N.: Formal ontology and information systems. In: Proceedings of the 1st International Conference on Formal Ontologies in Information Systems, FOIS 1998, pp. 3–15. IOS Press (1998)

    Google Scholar 

  12. Guarino, N., Welty, C.: Evaluating ontological decisions with OntoClean. Comm. ACM 45(2), 61–65 (2002)

    Article  Google Scholar 

  13. Staab, S., Gomez-Perez, A., Daelemana, W., Reinberger, M., Noy, N.: Why evaluate ontology technologies? Because it works!. IEEE Intell. Syst. 19(4), 74–81 (2004). https://doi.org/10.1109/MIS.2004.37

    Article  Google Scholar 

  14. Corcho, Ó., Gómez-Pérez, A., González-Cabero, R., Suárez-Figueroa, M.C.: ODEval: a tool for evaluating RDF(S), DAML+OIL, and OWL concept taxonomies. In: Bramer, M., Devedzic, V. (eds.) AIAI 2004. IIFIP, vol. 154, pp. 369–382. Springer, Boston, MA (2004). https://doi.org/10.1007/1-4020-8151-0_32

    Chapter  Google Scholar 

  15. Silva-López, R.B.: Modelo ontológico para la personalización de actividades de aprendizaje en ambientes virtuales, Ph.D. Dissertation, Sistema de Universidad Virtual, Universidad de Guadalajara (2016)

    Google Scholar 

  16. Colomb, R., Weber, R.: Completeness and quality of an ontology for an information system. In: Guarino, N., (ed.) Formal Ontology in Information Systems. International Conference on Formal Ontology in Information Systems (FOIS 1998), Trento, Italy, pp. 207–217. IOS-Press, Amsterdam (1998)

    Google Scholar 

  17. Colomb, R.M.: Quality of ontologies in interoperating information systems, Technical report 18/02 ISIB-CNR Pavoda, Italy (2002)

    Google Scholar 

  18. Porzel, R., Malaka, R.: A task-based approach for ontology evaluation. In: Proceedings of ECAI04 (2004)

    Google Scholar 

  19. Tartir, S., Arpinar, B., Sheth, A.: Ontological Evaluation and Validation (2007)

    Google Scholar 

  20. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum Comput Stud. 43(5-6), 907–928 (1995)

    Article  Google Scholar 

  21. Cross, V., Pal, A.: Metrics for ontologies. In: Annual Meeting of the North American Fuzzy Information Processing Society (2005)

    Google Scholar 

  22. Marquardt, W., Morbach, J., Wiesner, A., Yang, A.: On-toCAPE A Re-Usable Ontology for Chemical Process Engineering. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-04655-1

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iris Iddaly Méndez-Gurrola .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Silva-López, R.B., Méndez-Gurrola, I.I., Pablo-Leyva, H. (2020). Comparative Methodologies for Evaluation of Ontology Design. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60887-3_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60886-6

  • Online ISBN: 978-3-030-60887-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics