Methodology for analyzing the capabilities of aviation units of the air force based on ontological engineering
DOI:
https://doi.org/10.54858/dndia.2025-21-19Keywords:
consolidation of information resources, cognitive information technology, weapons and military equipment, ontological engineering, transdisciplinarity, special softwareAbstract
The article considers an effective tool for studying the capabilities of military formations of the Armed Forces - a methodology for analyzing the capabilities of Air Force aviation units based on ontological engineering. The assessment of capabilities can be carried out based on the results of monitoring the status of the military formation. Monitoring can be carried out constantly or during planning periods. A feature of this process is the dynamic change in the status over time. This is influenced by a set of factors, one of the important ones today is the participation of Air Force aviation (AF) in repelling the armed aggression of the Russian Federation. The methodology is based on the principles of ontological engineering. The use of ontological engineering will allow for the effective processing of large volumes of unstructured information and reporting documents on many indicators, including the status of EW, which come from military units (subunits) of deployed groups of troops (forces) during combat operations. The developed methodology allows for the analysis, selection and structuring of information resources of both structured and unstructured types. The developed methodology can also be used in the analysis of information processes in other areas of military equipment development and is an effective tool for supporting management decision-making.
References
Закон України. Про національну безпеку України. – https://www. https://zakon.rada.gov.ua/laws/show/2469–19#Text / [Электронный ресурс]. – Дата доступу: 20.09.2023.
Закон України (проект). Про засади державної політики перехідного періоду. – https://www.minre.gov.ua/sites/default/files/1._zakonoproyekt_pro_zasady_dppp.pdf/ [Электронный ресурс]. – Дата доступу: 20.09.2023.
Рішення Ради національної безпеки і оборони України. Про Стратегічний оборонний бюлетень України. – https://zakon.rada.gov.ua/laws/show/n0063525–21#Text / [Электронный ресурс]. – Дата доступу: 25.09.2023.
Указ Президента України. Про Стратегію воєнної безпеки України. – https://www.president.gov.ua/documents/1212021–37661 / [Электронный ресурс]. – Дата доступу: 26.09.2023.
Ansari M. H., Moradi M., NikRah O., Kambakhsh K. M. CodERS: A hybrid recommender system for an E–learning system. 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS). IEEE. 2016. С. 1–5. ISBN: 978–1–5090–5820–4 DOI: https://doi.org/10.1109/ICSPIS.2016.7869884.
Массель Л.В., Массель А.Г. Технологии и инструментальные средства интелектуальной поддержки принятия решений в экстремальных ситуациях в энергетике. Вычислительные технологии. 2013. Том 18. Специальный выпуск. С. 37–44.
Rivera A. C., Tapia–Leon M., Lujan–Mora S. Recommendation Systems in Education: A Systematic Mapping Study. Cham : Springer. 2018. С. 937–947. DOI: https://doi.org/10.1007/978–3–319–73450–7_89.
Головін О. О. Онтологічна інформаційно–аналітична підтримка процесів функціонування системи управління технологіями військового призначення// Озброєння та військова техніка: науково–технічний журнал / Центральний науково–дослідний інститут озброєння та військової техніки Збройних Сил України . – Вип 2 (22). – К.: ЦНДІ ОВТ ЗС України. 2019. – С. 16 – 28.
Chungora N., Young R., Gunendran G., Palner C., Usmman Z. A model–driven ontology approach for manufacturing system interoperability and knowledge sharing. Computers in industry. 2013, 64 (4), S. 392–401.
Dubinin V., Vyatkin V. Designing control applications based on the transformation of ontologies using logical programming languages. In Proceedings of the International Scientific and Technical Conference on Contemporary information technologies, 2012, S. 6–25.
Kopaygorodsky A. Use of ontologies in semantic information systems, Ontology of Designing, 2014, 4 (14), S. 78–89.
Zagorulko Y. Semantic ontology for development of intelligent systems oriented to experts in subject domain, Ontology of Designing, 2015, 5 (1), S. 30–46.
Stryzhak O., Prychodniuk V., Podlipaiev V. Model of Transdisciplinary Representation of GEOspatial Information // Advances in Information and Communication Technologies. UKRMICO 2019. Lecture Notes in Electrical Engineering, vol 560. Springer, Cham. – pp. 34–75.
Dovhyi S., Stryzhak, O. Transdisciplinary Fundamentals of Information–Analytical Activity / Editors : Ilchenko M., Uryvsky L., Globa L. Advances in Information and Communication Technology and Systems, MCT 2019. Lecture Notes in Networks and Systems. Vol. 152. Cham: Springer Publ., 2020 [Электронный ресурс]. DOI: https://doi.org/10.1007/978–3–030–58359–0_7.
