Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence

• URL: http://arxiv.org/abs/2411.19113v1
• Date: Thu, 28 Nov 2024 12:59:32 GMT
• Title: Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence
• Authors: Eduard Manziuk, Oleksander Barmak, Pavlo Radiuk, Vladislav Kuznetsov, Iurii Krak, Sergiy Yakovlev,
• Abstract summary: A formalization was developed that enables the integration of essential and contextual descriptors to create a comprehensive knowledge model. The hierarchical structure of the semantic approach and the mathematical apparatus for analyzing potential conflicts between concepts are demonstrated.
• Score: 13.69268253901738
• License:
• Abstract: This paper proposes a novel approach to semantic ontology alignment using contextual descriptors. A formalization was developed that enables the integration of essential and contextual descriptors to create a comprehensive knowledge model. The hierarchical structure of the semantic approach and the mathematical apparatus for analyzing potential conflicts between concepts, particularly in the example of "Transparency" and "Privacy" in the context of artificial intelligence, are demonstrated. Experimental studies showed a significant improvement in ontology alignment metrics after the implementation of contextual descriptors, especially in the areas of privacy, responsibility, and freedom & autonomy. The application of contextual descriptors achieved an average overall improvement of approximately 4.36%. The results indicate the effectiveness of the proposed approach for more accurately reflecting the complexity of knowledge and its contextual dependence.

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