Aranda Corral, Gonzalo AntonioBorrego Díaz, JoaquínChávez González, Antonia MaríaGulayeva, Nataliya M.2024-09-032024-09-032024-05Aranda-Corral, G. A., Borrego-Díaz, J., Chávez-González, A. M., & Gulayeva, N. M. (2024). A Logical–Algebraic Approach to Revising Formal Ontologies: Application in Mereotopology. In AI (Vol. 5, Issue 2, pp. 746–789). MDPI AG. https://doi.org/10.3390/ai50200392673-2688 (electrónico)https://hdl.handle.net/10272/24083In ontology engineering, reusing (or extending) ontologies poses a significant challenge, requiring revising their ontological commitments and ensuring accurate representation and coherent reasoning. This study aims to address two main objectives. Firstly, it seeks to develop a methodological approach supporting ontology extension practices. Secondly, it aims to demonstrate its feasibility by applying the approach to the case of extending qualitative spatial reasoning (QSR) theories. Key questions involve effectively interpreting spatial extensions while maintaining consistency. The framework systematically analyzes extensions of formal ontologies, providing a reconstruction of a qualitative calculus. Reconstructed qualitative calculus demonstrates improved interpretative capabilities and reasoning accuracy. The research underscores the importance of methodological approaches when extending formal ontologies, with spatial interpretation serving as a valuable case study.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Foundational ontologiesAutomated reasoningQualitative spatial reasoningjournal article10.3390/ai5020039open access1203.04 Inteligencia Artificial