Peculiarities of applying ontology-driven approach to the analysis of the security of educational institutions
DOI:
https://doi.org/10.31649/2524-1079-2025-10-1-001-008Keywords:
ontology-driven approach, security, educational institutions, features of ontology applicationAbstract
The article outlines the peculiarities of applying an ontology-driven approach to the analysis of educational institutions security. The main aspects of ontological modeling in the field of educational environment security are identified, in particular in the context of threat assessment, risk prediction and development of effective mechanisms for their minimization. The basic principles of building ontological models are outlined, which allow to formalize knowledge about their dangers and ways to prevent them, as well as to ensure the integration of these models into digital tools for monitoring and management in educational institutions. The key components of ontological systems are considered, including the category of risks, identification of relationships between threats, automated analysis of situations and the formation of recommendations for making management decisions. The possibilities of using an ontology-driven approach to develop adaptive strategies for responding to certain threats and their dynamic correction based on the analysis are substantiated.
The results obtained demonstrate the prospects of the ontological approach to the analysis of the provision of educational institutions and emphasize its importance for increasing the resilience of educational institutions to modern threats, since such an approach provides not only the systematization of knowledge among subjects of education, the administration of the educational institution and the teaching staff about security, but also the effectiveness of its management, creating conditions for strategic planning, operational response and the implementation of innovative methods of protecting education. Therefore, the use of an ontology-driven approach to the analysis of the provision of educational institutions is an effective tool for systematizing knowledge about any threats, methods for their prevention and mechanisms for responding to an emergency. Thanks to the structured presentation of information, it is possible to understand the relationships between physical, technical, organizational and human factors more deeply.
Prospects for further research include the substantiation and development of theoretical and methodological foundations of complex ontological security models that cover all aspects of securing educational institutions (physical and information security, psychological comfort, legal aspects, and response to crisis situations).
References
Dembitska, S., Kobylianskyi, O., Kobylianska, I., & Tatarchuk, V. (2024). Application of a risk-oriented approach in the process of professional training of specialists in energy industry. Przegląd elektrotechniczny, 6, 248-252. doi:10.15199/48.2024.06.52.
Dembitska S., Kobylianskyi O., Nahorniak S., Puhach V., & Tatarchuk V. (2025). Usage of Artificial Intelligence for the Individualization of Learning in the Institutions of Higher Education. In: Auer, M. E., Rüütmann, T. (eds) Futureproofing Engineering Education for Global Responsibility. ICL 2024. Lecture Notes in Networks and Systems, 1260, 199–207. Springer, Cham. https://doi.org/10.1007/978-3-031-85652-5_21.
Dembitska, S., Kuzmenko, O., Savchenko, I., Demianenko, V., & Safronova, H. (2024). Digitization of the Educational and Scientific Space Based on STEAM Education. In: Auer, M. E., Cukierman, U. R., Vendrell Vidal, E., Tovar Caro, E. (eds) Towards a Hybrid, Flexible and Socially Engaged Higher Education. ICL 2023. Lecture Notes in Networks and Systems, 901. https://doi.org/10.1007/978-3-031-53022-7_34.
Dovhyi, S.O., Velychko, V. Yu., Hloba, L. S., Stryzhak, O. Ye., Andrushchenko, T. I., Halchenko, S. A, …, & Ternovoi, M. Yu. (2013). Kompiuterni ontolohii ta yikh vykorystannia u navchalnomu protsesi [Computer ontologies and their use in the educational process]. Teoriia i praktyka: monohrafiia. Kyiv: Instytut obdarovanoi dytyny. [in Ukrainian].
Guizzardi, G., Franconi, E., & Prince Sales T. (2024). An Ontological Approach to Security Modeling. [Doctoral Thesis]. URL: https://www.researchgate.net/publication/384961612_An_Ontological_Approach_to_Security_Modeling.
Ivaniuk, V., Miastkovska, M., Dembitska, S., & Kuzmenko, O. (2025). The Use of Mathematical Packages of Applied Programs in the Educational Process. In: Auer, M.E., Rüütmann, T. (eds) Futureproofing Engineering Education for Global Responsibility. ICL 2024. Lecture Notes in Networks and Systems, 1260, 573–580. Springer, Cham. https://doi.org/10.1007/978-3-031-85652-5_57.
Kebande, V. R., Karie, N. M., Ikuesan, R. A., & Venter, H. S. (2020). Ontology-driven perspective of CFRaaS. WIRens Forensic Sience, 2(5), 1–18. https://doi.org/10.1002/wfs2.1372.
Kobylianskyi, O., Kobylianskyi, Y., Dembitska, S., Kobylianska, I., & Pinaieva, O. (2025). Training of Specialists in the Sphere of Renewable Energy in the Conditions of Blended Learning for the Needs of the Regional Economy. In: Auer, M.E., Rüütmann, T. (eds) Futureproofing Engineering Education for Global Responsibility. ICL 2024. Lecture Notes in Networks and Systems, 1280, 3–15. Springer, Cham. https://doi.org/10.1007/978-3-031-83523-0_1.
Melnyk, A. M. (2022). Arkhitektura prohramnoho zabezpechennia dlia matematychnoho modeliuvannia na osnovi intervalnoho ta ontolohichnoho pidkhodu [Software architecture for mathematical modelling based on interval and ontological approach]. Visnyk Khmelnytskoho natsionalnoho universytetu, 3(309), 265–273. [in Ukrainian].
Nadutenko, M., Prykhodniuk, V., Shyrokov, V., & Stryzhak, O. (2022). Ontology-Driven Lexicographic Systems. Advances in Information and Communication. FICC 2022. Lecture Notes in Networks and Systems, 438, 204–215. Cham: Springer. https://doi.org/10.1007/978-3-030-98012-2_16.
Rogushina1, J., Gladun, A., Pryima, S., & Strokan, O. (2019). Ontology-Based Approach to Validation of Learning Outcomes for Information Security Domain. CEUR-WS.org/Vol-2577, 21-36. URL: http://www.tsatu.edu.ua/kn/wp-content/uploads/sites/16/skopus_2019.pdf.
Stryzhak, O. (2013). Ontolohichni elektronno-osvitni resursy – informatsiinyi bazis pidtrymky rozvytku obdarovanosti [Ontological e-learning resources – an information basis for supporting the development of giftedness]. Navchannia i vykhovannia obdarovanoi dytyny: teoriia ta praktyka. Vyp. 2, 79-87. URL: http://nbuv.gov.ua/UJRN/Nivoo_2013_2_12. [in Ukrainian].
Stryzhak, O., Prykhodniuk, V., Popova, M., Nadutenko, M., Haiko, S., & Chepkov, R. (2021). Development of an Oceanographic Databank Based on Ontological Interactive Documents. Lecture Notes in Networks and Systems, 284, 97–114. Cham: Springer. https://doi.org/10.1007/978-3-030-80126-7_8. [in English].
Stryzhak, O. Ye., Shyrokov, V. A., Nadutenko, M. V., & Yushchenko S. S. (2020). Tekhnolohichni zasady lohiko-linhvistychnykh doslidzhen zakonodavstva [Technological bases of logical and linguistic research of legislation]. Bionika intelektu, 2(95), 3–14. [in Ukrainian].
Tong Li, & Zhishuai Chen (2020). An ontology-based learning approach for automatically classifying security requirements. Journal of Systems and Software, 165. https://doi.org/10.1016/j.jss.2020.110566. URL: https://www.sciencedirect.com/science/article/abs/pii/S0164121220300479
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