MATHEMATICAL AND COGNITIVE FOUNDATION FOR THE SYSTEMATIZATION OF ONTOLOGICAL RELATIONS

This paper analyzes the methods and approaches for the systematization of ontological relations, based on the integration of their mathematical properties, cognitive foundations, and semantic nature. Relations are considered as sets of tuples of a given arity that define links between elements. Relation algebra helps to understand the semantic patterns underlying these connections and to generalize the rules of their composition. The study examines fundamental relations formed by generalizing image-based cognitive schemas and derived relations based on them. Synthetic and meta-relations (relations between relations) are also considered. Special attention is given to the logical composition of relations and the properties of this process. The paper highlights the connection between basic relations, which emerge from the generalization of sensory experience, and relations artificially synthesized using axiomatic definitions at the ontology level and formal logic-based composition. The proposed taxonomy is aimed at organizing sets of relations to support the construction of universal and consistent ontologies applicable across various domains.

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Publication Details

Journal
International scientific and technical conference Information technologies in metallurgy and machine building
Published
2025-06-02
DOI
https://doi.org/10.34185/1991-7848.itmm.2025.01.093
Primary Topic
Statistical and Computational Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

MATHEMATICAL AND COGNITIVE FOUNDATION FOR THE SYSTEMATIZATION OF ONTOLOGICAL RELATIONS

Viktor Shynkarenko, Oleksandr Halushka
International scientific and technical conference Information technologies in metallurgy and machine building
Statistical and Computational Modeling
article

MATHEMATICAL AND COGNITIVE FOUNDATION FOR THE SYSTEMATIZATION OF ONTOLOGICAL RELATIONS

Viktor Shynkarenko, Oleksandr Halushka
article en

Abstract

This paper analyzes the methods and approaches for the systematization of ontological relations, based on the integration of their mathematical properties, cognitive foundations, and semantic nature. Relations are considered as sets of tuples of a given arity that define links between elements. Relation algebra helps to understand the semantic patterns underlying these connections and to generalize the rules of their composition. The study examines fundamental relations formed by generalizing image-based cognitive schemas and derived relations based on them. Synthetic and meta-relations (relations between relations) are also considered. Special attention is given to the logical composition of relations and the properties of this process. The paper highlights the connection between basic relations, which emerge from the generalization of sensory experience, and relations artificially synthesized using axiomatic definitions at the ontology level and formal logic-based composition. The proposed taxonomy is aimed at organizing sets of relations to support the construction of universal and consistent ontologies applicable across various domains.

International scientific and technical conference Information technologies in metallurgy and machine building
Openalex Percentile: Top 94%
Statistical and Computational Modeling
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MATHEMATICAL AND COGNITIVE FOUNDATION FOR THE SYSTEMATIZATION OF ONTOLOGICAL RELATIONS — Viktor Shynkarenko, Oleksandr Halushka · International scientific and technical conference Information technologies in metallurgy and machine building (2025) | TGRS Research Map | TGRS