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FUNCTIONAL FEATURES OF IMPLEMENTED ONTOLOGICAL PLATFORMS

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D. A. Garkusha
Federal State Budgetary Scientific Institution «Institute of Artificial Intelligence Problems» 283048, Donetsk, Artem str., 118 b
Research interests: ontology, artificial intelligence systems

UDC 004.89:004.93
DOI 10.34757/2413-7383.2023.31.4.001
Language:Russian
Annotation: he article provides an analysis of tools in the field of ontology construction. The study of this problem showed that at the moment there is a small number of sources showing the effective use of tools in different tasks, stacks, and project scope. The result will be the use of data in an integrated approach to solving ontological engineering problems. Keywords: ontology, ontological platforms.

References:
1. Dorokhina G.V. Formalized ontologies and tasks for constructing computer information technology for digital collection, processing and analysis of data. [Artificial intelligence: theoretical aspects, practical application: materials of the Donetsk international scientific round table. – Donetsk: GU IPII, 2020. – pp. 229–234
2. Dorokhina G. V. Requirements for information technology of digital data collection, processing and analysis. [Artificial intelligence: theoretical aspects, practical application: materials of the Donetsk international scientific round table. – Donetsk: GU IPII, 2020. – №4 (19). – Pp. 4-9.
3. Muromtsev D. Industrial graphs of knowledge – the intellectual core of the digital economy [Text] / Dmitry Muromtsev, Alexey Romanov, Dmitry Volchek // Control Engineering Russia. – No. 5 (83). – October 2019. – pp. 23-39
4. Okhtilev P.A. Algorithms and ontological models of information and analytical support for the creation and application of space facilities [Text]: Dissertation for the degree of Candidate of Technical Sciences. Specialty 05.13.01 – System analysis, management and information processing (technical systems) Date of protection: 19.12.2019/ Peter Alekseevich Okhtilev. – St. Petersburg, 2019. – 408 p.
5. Bruno Borlini Duarte An Ontology-based Reference Model for the Software Systems Domain with a focus on Requirements Traceability/ Bruno Borlini Duarte. – Vitória, ES, 2022- 149 p.: il.; 30 cm. (дата обращения: 10.10.2023)
6. SS R 59798-2021. Information technology. Higher-level Ontologies (TLO). Part 2. Basic Formal Ontology (BFO): National Standard of the Russian Federation: effective date: 30.04.2022 / Federal Agency for Technical Regulation and Metrology. – Official edition. – Moscow Russian Institute of Standardization 2021 – 36 p.
7. FOUNDRY PRODUCTION OF OPEN BIOLOGICAL AND BIOMEDICAL ONTOLOGIES. Foundry ABOUT [viewed 2019-11-1], available at http://obofoundry.org (OPEN BIOLOGICAL AND BIOMEDICAL ONTOLOGIES FOUNDRY. The OBO Foundry)
8. Garkusha, D. A. Analysis of ontological platforms[Artificial intelligence: theoretical aspects, practical application: materials of the Donetsk international scientific round table. − Donetsk : FGBNU "IPII", 2023. – 252 p. – pp. 37-40.
9. Krivodubsky, O. A. Mathematical models in control systems [Artificial intelligence: theoretical aspects, practical application: materials of the Donetsk international scientific round table. – Donetsk: GU IPII, 2023. – 252 p. – pp. 111-113.
10. Gruber T.R. The role of common ontology in achieving sharable, reusable knowledge bases // Principles of Knowledge Representation and Reasoning. Proceedings of the Second International Conference. J.A. Allen, R. Fikes, E. Sandewell – eds. MorganKaufmann, 1991, 601-602.
11. Zagorulko Yu.A. Modern means of formalizing the semantics of knowledge fields based on ontologies // Information and mathematical technologies in science and management. – 2018. № 3 (11). – P. 27 36. – DOI:10.25729/2413-0133-2018-3-03.
12. JenaApiDocumetion [Электронный ресурс]. – Режим доступа: https://jena.apache.org/documentation/ontology/ (Дата обращения: 18.06.20.23)
13. Rodiontsev, N.N. Analysis of the application of ontologies in the development of information and communication systems in the oil and gas industry / N.N. Rodiontsev. // Moscow Economic Journal. – 2019. – No. 2.– C. 695-699.
14. Semerkhanov, I.A. Methods and algorithms of automated integration of information resources based on an ontological approach / I.A. Semerkhanov / / Dissertation for the degree of Candidate of Technical Sciences. – St. Petersburg,: Peter, 2014. – p. 137.
15. Gorshkov, S.V. Introduction to ontological modeling/ S.V. Gorshkov – LLC "TriniData", 2014-2018.– 144 p.
16. . Tracing services in the mobile transport network. How we came to the Neo4j graph database / Suraev D.V. [Access mode] https://habr.com/ru/post/517254 / (Date of access: 06/18/2023).
17. Corporate automated systems based on ontological models: recipe book – ed. LLC "TriniData" – 2020 – 81c.
18. . Ontological modeling of enterprises: methods and technologies: Monograph ; [ed. by S. V. Gorshkov]; preface by S. V. Gorshkov. Yekaterinburg : Ural Publishing House. unita, 2019. - 234 p.
19. Dbengines [Electronic resource]. - Access mode: https://db-engines.com/en/system/Stardog (date of application: 06/20/2023).
20. Dbengine [Electronic resource]. – Access mode: https://db-engines.com/en/system/MarkLogic (Date of application: 06/20/2023).
21. Stardog [Electronic resource]. – Access mode: https://docs.stardog.com / (Date of access: 06/21/2023)

Issues: 4(31)'2023
Section: Informatics, Computer Engineering and Control
Cite: Garkusha, D.A. FUNCTIONAL FEATURES OF IMPLEMENTED ONTOLOGICAL PLATFORMS // D.A. Garkusha // Проблемы искусственного интеллекта. - 2023. № 4 (31). - 4-11. - http://search.rads-doi.org/project/14374/object/210537 doi: 10.34757/2413-7383.2023.31.4.001