Experience of Using Content Patterns in the Development of Ontologies of Scientific Subject Areas

• Published in: Pattern recognition and image analysis Vol. 33; no. 3; pp. 560 - 567
• Main Authors: Zagorulko, Yu. A., Zagorulko, G. B.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.09.2023; Springer Nature B.V
• Subjects: Computer Science; Image Processing and Computer Vision; Pattern Recognition; Selected Conference Papers; development of ontology; scientific subject area; content patterns; ontology design patterns; specialization of patterns
• ISSN: 1054-6618; 1555-6212
• DOI: 10.1134/S1054661823030513

At present, ontology is widely used for the formalization and systematization of knowledge and data in various subject areas. To facilitate and accelerate the process of developing ontologies, ontology design patterns have recently been used, which are formal descriptions of solutions to typical problems of ontological modeling proven in practice. The most popular type of ontology design patterns are content patterns that support a uniform and consistent representation of all the entities of the simulated subject area. The article gives a brief overview of ontology design patterns and proposes a methodology for constructing ontologies of scientific subject areas, the main feature of which is the use of basic ontologies and content patterns, and analyzes the experience of using this methodology in the construction of ontologies of various scientific subject areas.