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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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
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
Soares, A., Fonseca, F.: Ontology-driven information systems: at development time. Int. J. Comput. Syst. Signals 8(2), 50–59 (2007)
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)
Yildiz, B., Miksch, S.: Ontology-Driven Information Systems: Challenges and Requirements (2007)
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
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)
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)
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)
Hartmann, J., et al.: Methods for ontology evaluation. Knowledge Web (2004)
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)
Guarino, N., Welty, C.: Evaluating ontological decisions with OntoClean. Comm. ACM 45(2), 61–65 (2002)
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
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
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)
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)
Colomb, R.M.: Quality of ontologies in interoperating information systems, Technical report 18/02 ISIB-CNR Pavoda, Italy (2002)
Porzel, R., Malaka, R.: A task-based approach for ontology evaluation. In: Proceedings of ECAI04 (2004)
Tartir, S., Arpinar, B., Sheth, A.: Ontological Evaluation and Validation (2007)
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)
Cross, V., Pal, A.: Metrics for ontologies. In: Annual Meeting of the North American Fuzzy Information Processing Society (2005)
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
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)