A Logical–Algebraic Approach to Revising Formal Ontologies: Application in Mereotopology
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Abstract
In 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.
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Aranda-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/ai5020039














