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.

Bibliographic citation

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

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