Sabrina Azzi, Stéphane Gagnon, Ali Assi, (2022), “Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements”, The 16th International Conference on Metadata and Semantics Research (MTSR 2022), London, November 7-11, 2022; Proceedings published by Springer, in Metadata and Semantic Research. MTSR 2022. Communications in Computer and Information Science, LNCS Volume 1789, pp.203–208, ISBN 978-3-031-39141-5.

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.