A Categorical Formalism for Conceptual Graphs

Abstract In this paper, we propose a formalism for knowledge manipulation, based on conceptual graphs, which is supported by category theory, and which can be the basis for the development of knowledge-based systems. The model we propose is an extension of the model based on conceptual graphs. In this model, the application of an inference rule between logical formulas represented by two conceptual graphs is reduced to the identification of an arrow in a category. To this end, we introduce several new notions such as: the category of conceptual graphs, the category of classes of conceptual graphs, the conceptual category of a model and the conceptual category of inference of a model.

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Publication Details

Journal
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences
Published
2024-12-01
DOI
https://doi.org/10.2478/ijasitels-2024-0014
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Categorical Formalism for Conceptual Graphs

Daniel-Cristian Crăciunean
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences
Semantic Web and Ontologies
article

A Categorical Formalism for Conceptual Graphs

Daniel-Cristian Crăciunean
article en

Abstract

Abstract In this paper, we propose a formalism for knowledge manipulation, based on conceptual graphs, which is supported by category theory, and which can be the basis for the development of knowledge-based systems. The model we propose is an extension of the model based on conceptual graphs. In this model, the application of an inference rule between logical formulas represented by two conceptual graphs is reduced to the identification of an arrow in a category. To this end, we introduce several new notions such as: the category of conceptual graphs, the category of classes of conceptual graphs, the conceptual category of a model and the conceptual category of inference of a model.

International Journal of Advanced Statistics and IT&C for Economics and Life SciencesVol. 14(1)
Lucian Blaga University of Sibiu (RO)
Openalex Percentile: Top 79%
Semantic Web and Ontologies
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