Ontology-based decision support system in entomophages production
DOI:
https://doi.org/10.31548/energiya1(83).2026.026Keywords:
system, decision support, entomophages production, ontological knowledge baseAbstract
The article explores the issue of developing a decision support system based on ontologys in the production of entomophages for the biologization of plant protection, which is due to the need to increase the efficiency of the management processes of this production. The use of ontologies makes it possible to generalize and systematize knowledge about the processes of entomophages production based on the results of previous research, technological experience of specialists, analysis of scientific papers, and modern software tools.
The aim of the study is to develop a decision support system based on ontologies in the production of entomophages. Research methods – systemic and synergistic approaches, ontological engineering, machine learning, publicly available software environments Visual Understanding Environment and FreeMind, and the Scilab computer mathematics system.
An analysis of recent research and publications on the creation of decision support systems based on ontologies was conducted. A decision support system based on ontologys in the production of entomophages has been developed, the structure of which is presented in the form of an associative map using the FreeMind software environment. The components of the system are the Visual Understanding Environment software environment; user interface; ontological knowledge base, which contains classes, concepts and built-in ontologies. System functions: decision-making support regarding the quality of entomological products and the level of technological controllability of production processes under conditions of uncertainty; automated analysis, structuring and digitalization of knowledge.
The research results allow to increase the level of automation of processes for managing the production of entomophages and the competence of the decision-maker, and can be used in the creation of artificial intelligence systems in the production of biological plant protection products
Recieved 2025-12-25
Recieved 2026-01-12
Accepted 2026-02-11
References
1. Yevreinova, N. M., & Babenko, M. V. (2023). Vykorystannia ontolohichnoho pidkhodu pry stvorenni intelektualnykh system. In Informatsiini modeliuiuchi tekhnolohii, systemy ta kompleksy: materialy IV mizhnar. nauk.-prakt. konf. [Using the ontological approach in creating intelligent systems. In Information modeling technologies, systems and complexes: Materials of the IV intern. scient. and pract. conf. (pp. 48-49)]. Cherkaskyi natsionalnyi universytet imeni Bohdana Khmelnytskoho.
2. Lytvyn, V., Vysotska, V., Dosyn, D., Lozynska O. & Oborska O. (2018). Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology. In IEEE Second International Conference on Data Stream Mining & Processing (pp. 145-150). Lviv, Ukraine. https://doi.org/10.1109/DSMP.2018.8478500.
3. Sanctorum, A., Riggio, J., Maushagen, J., Sepehri, S., Arnesdotter, E., Delagrange, M., … & De Troyer, O. (2022). End-user engineering of ontology-based knowledge bases. Behaviour & Information Technology, 41(9), 1811–1829. https://doi.org/10.1080/0144929X.2022.2092032.
4. Karpov, I., & Burov, Ye. (2022). Pidkhid do pobudovy systemy pidtrymky pryiniattia rishen na osnovi ontolohii [An approach to building a decision support system based on ontologies]. Naukovyi zbirnyk «InterConf+», 19(99), 849–855. https://doi.org/10.51582/interconf.19-20.02.2022.095.
5. Lytvyn, V. V. (2013). Pidkhid do pobudovy intelektualnykh system pidtrymky pryiniattia rishen na osnovi ontolohii [An approach to building intelligent decision support systems based on ontologies]. Problemy prohramuvannia. Ekspertni ta intelektualni informatsiini systemy, 4, 43-52.
6. Oprea, M. (2018). A knowledge modelling framework for intelligent environmental decision support systems and its application to some environmental problems. Environmental Modelling & Software, 110, 72–94. https://doi.org/10.1016/j.envsoft.2018.09.001.
7. Chougule, A., Kumar, V., & Mukhopadhyay, D. (2019). Decision support for grape crop protection using ontology. International Journal of Reasoning-based Intelligent Systems, 11, 1, 24-37. https://doi.org/10.1504/IJRIS.2019.098051.
8. Lagos-Ortiz, K., Medina-Moreira, J., Morán-Castro, C., Campuzano, C., & Valencia-García, R. (2018). An Ontology-Based Decision Support System for Insect Pest Control in Crops. In book: Technologies and Innovation (pp. 3-14). CITI. Communications in Computer and Information Science, 883. Springer. Cham. https://doi.org/10.1007/978-3-030-00940-3_1.
9. Jearanaiwongkul, W., Anutariya, C., Racharak, T., & Andres, F. (2021). An Ontology-Based Expert System for Rice Disease Identification and Control Recommendation. Applied Sciences, 11(21), 10450. https://doi.org/10.3390/app112110450.
10. Chernova, I. S. (2025). Interaktyvna baza danykh kontroliu yakosti entomolohichnoi produktsii («Interaktyvna baza danykh»). Svidotstvo pro reiestratsiiu avtorskoho prava na literaturnyi pysmovyi tvir naukovoho kharakteru [Interactive database for quality control of entomological products (“Interactive database”). Certificate of registration of copyright for a literary written work of a scientific nature], 139160, 94.
11. Chernova, I. S. (2025). Informatsiina systema kontroliu yakosti entomolohichnoi produktsii na osnovi ontolohii. In Biolohichnyi metod zakhystu roslyn: dosiahnennia i perspektyvy: materialy II mizhnar. nauk. konf. [Information system for quality control of entomological products based on ontologies. In Biological control in crop protection: achievements and prospects: materials of the II intern. scient.conf. (pp. 39-41)]. Informatsiinyi biuleten Inzhenerno-tekhnolohichnoho instytutu «Biotekhnika» Natsionalnoi akademii ahrarnykh nauk Ukrainy, Odesa, 2.
12. Chernova, I. (2024). Biological protection of plants: ontological approach. In Genetics, Physiology and Plant Breeding (VIII-th Edition): Materials Proceedings International Scientific Conference (pp. 525-528). Chisinau, Republic of Moldova. https://doi.org/10.53040/gppb8.2024.91.
13. Chernova, I. S. (2025). Predstavlennia znan u vyrobnytstvi entomofahiv [Presentation of knowledge in entomophages production]. Enerhetyka i avtomatyka, 2, 96-105. https://doi.org/10.31548/energiya2(78).2025.096.
14. Chernova, I. S., & Lysenko, V. P. (2024). Intelektualna pidtrymka pryiniattia rishen u vyrobnytstvi entomofahiv: ontolohichnyi pidkhid. In Kontrol i upravlinnia v skladnykh systemakh: KUSS-2024: materialy ХVІI mizhnar. konf. [Intelligent decision support in entomophages production: an ontological approach. In Control and management in complex systems: MCCS-2024: materials of the XVII intern. conf.]. Vinnytsia: Vinnytskyi natsionalnyi tekhnichnyi universytet. https://doi.org/10.31649/mccs2024.3-01.
15. Chernova, I. S., & Lysenko V. P. (2024). Modeliuvannia protsesiv intelektualnoho upravlinnia vyrobnytstvom entomofahiv. In Suchasni problemy v radioelektronitsi, telekomunikatsiiakh: materialy mizhnar. nauk.-tekhn. konf. [Modeling of processes of intelligent control of entomophages production. In Advanced Trends in Radioelectronics and Telecommunications: materials of the intern. scient. and techn. conf. (pp. 249-251)]. Lviv: Vydavnytstvo Lvivskoi politekhniky.
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