Semantic alignment of ontologies meaningful categories with the generalization of descriptive structures

• Published in: PROBLEMS IN PROGRAMMING
• Date: 2023
• Issue: 3-4
• Pages: 355-363
• ISSN: 1727-4907
• Author Affiliations: E.A. Manziuk — Khmelnytskyi National University — ORCID: 0000-0002-7310-2126; O.V. Barmak — Khmelnytskyi National University — ORCID: 0000-0003-0739-9678; Iu.V. Krak — Glushkov Institute of Cybernetics NAS of Ukraine; O.A. Pasichnyk — Khmelnytskyi National University; P.M. Radiuk — Khmelnytskyi National University — ORCID: 0000-0003-3609-112X; O.V. Mazurets — Khmelnytskyi National University — ORCID: 0000-0002-8900-0650
• Main Authors: Manziuk, E.A., Barmak, O.V., Krak, Iu.V., Pasichnyk, O.A., Radiuk, P.M., Mazurets, O.V.
• Format: Article
• Language: English
• Published: PROBLEMS IN PROGRAMMING 2023
• Subjects: semantic alignment; ontology; information scope; entities; UDC 004.896:004.912:004.048
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/536
• Journal Title: Problems in programming

The presented work addresses the issue of semantic alignment of ontology components with a generalized structured corpus. The field of research refers to the sphere of determining the features of trust in artificial intelligence. An alignment method is proposed at the level of semantic components of...