Abstract
The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step.
Supported by the House of Commons of Canada.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25(1–2), 161–197 (1998)
Grüninger, M., Fox, M.S.: The role of competency questions in enterprise engineering. In: Rolstadås, A. (ed.) Benchmarking—Theory and Practice. IAICT, pp. 22–31. Springer, Boston, MA (1995). https://doi.org/10.1007/978-0-387-34847-6_3
Katsumi, M., Grüninger, M.: What is ontology reuse? In: FOIS, pp. 9–22 (2016)
Azzi, S.: Nouvelle méthodologie de construction d’ontologies médicales: cas d’étude: diagnostic de la pneumonie. Ph.D. thesis, Université du Québec en Outaouais (2021)
Katsumi, M., Grüninger, M.: Choosing ontologies for reuse. Appl. Ontol. 12(3–4), 195–221 (2017)
Khan, Z., Keet, C.M.: ONSET: automated foundational ontology selection and explanation. In: ten Teije, A., et al. (eds.) EKAW 2012. LNCS (LNAI), vol. 7603, pp. 237–251. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33876-2_22
Azzi, S., Michalowski, W., Iglewski, M.: Developing a pneumonia diagnosis ontology from multiple knowledge sources. Health Inform. J. 28(2), 14604582221083850 (2022)
Alharbi, R., Tamma, V., Grasso, F.: Characterising the gap between theory and practice of ontology reuse. In: Proceedings of the 11th on Knowledge Capture Conference, pp. 217–224 (2021)
Cota, G., et al.: The landscape of ontology reuse approaches. Appl. Pract. Ontol. Des. Extract. Reason 49, 21 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Azzi, S., Assi, A., Gagnon, S. (2023). Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements. In: Garoufallou, E., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2022. Communications in Computer and Information Science, vol 1789. Springer, Cham. https://doi.org/10.1007/978-3-031-39141-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-031-39141-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-39140-8
Online ISBN: 978-3-031-39141-5
eBook Packages: Computer ScienceComputer Science (R0)