Presentation of knowledge in the production of entomophages
DOI:
https://doi.org/10.31548/Abstract
The article is devoted to the issue of knowledge representation in the production of entomophages based on the use of ontologies.
The aim of the study is to develop an ontological knowledge base in entomophages production.
The object of the research is knowledge about the processes of managing the production of entomophages.
The subject of the research is the digitalization of entomophages production management processes.
Research methods – structural synthesis, ontological analysis, synergistic approach, software environment Visual Understanding Environment.
The relevance of the indicated research direction is substantiated; well-known works on the application of ontologies are noted, in particular, in the processes of: decision-making support, intelligent control of technological complexes; ontological modeling of a knowledge base for travel organization, creation of an ontological glossary; development of a dictionary and ontology for modeling insect natural history data, etc.
An ontological knowledge base in the production of the entomophages Habrobracon hebetor has been developed. The structure of the knowledge base contains: classes "Human actions in production management processes", "Quality control of entomological products", "Technological processes", "Formalization of knowledge regarding production processes", "Precedentes", "Decision support", "Ensuring the quality of entomological products"; concepts and built-in ontologies "Processes of the production of entomophage Habrobracon hebetor", "Thesaurus of intellectual support for decision-making in the production of entomophages".
The results of the study make it possible to increase the efficiency of the management processes of complex biotechnical production due to the digitalization of knowledge, the growth of the level of competence of biotechnologists.
Key words: knowledge base, entomophages production, ontologies, decision support
References
1. Zhuikov, O. H. (2022). Biolohichnyi metod zakhystu roslyn u suchasnomu orhanichnomu zemlerobstvi Ukrainy: istorychni aspekty, trendy, perspektyvy [Biological method of plant protection in modern organic farming in Ukraine: historical aspects, trends, prospects]. Ahrarni innovatsii, 12, 23-27. https://doi.org/10.32848/agrar.innov.2022.12.4
2. Alieksieieva, O. V., Mazur, K. V., Kryvohubets, V. A. (2024). Didzhytalizatsiia yak vazhlyvyi faktor formuvannia konkurentospromozhnosti ahrarnykh pidpryiemstv [Digitalization as an important factor in shaping the competitiveness of agricultural enterprises]. Problemy suchasnykh transformatsii. Seriia: ekonomika ta upravlinnia, 12. https://doi.org/10.54929/2786-5738-2024-12-04-06
3. Sereda, Kh. V. (2024). Bazy znan ontolohichnoho typu: zahalnyi ohliad. Informatsiine zabezpechennia sfery osvity ta nauky Ukrainy v umovakh voiennoho stanu: mater. zvit. nauk.-prakt. konf. DNPB Ukrainy imeni V.O. Sukhomlynskoho (Kyiv, 17 hrud. 2024 r.) [Knowledge bases of the ontological type: a general overview. Information support for the education and science sector of Ukraine under martial law: materials of the scientific and practical conference of the V.O. Sukhomlynsky State Scientific and Pedagogical Library (Kyiv, Dec. 17, 2024)]. Vinnytsia: TVORY. С. 67-69.
4. Silahin, O. V., Denysiuk, V. O. (2022). Ontolohichne modeliuvannia bazy znan z orhanizatsii podorozhei [Ontological modeling of a knowledge base for travel organization]. Ukrainskyi zhurnal informatsiinykh tekhnolohii, 4, 1, 44-52. https://doi.org/10.23939/ujit2022.01.044
5. Roussey C., Soulignac V., Champomier J.C., Abt V., Chanet J.-P. (2010). Ontologies in Agriculture. AgEng 2010, International Conference on Agricultural Engineering, Sep 2010, Clermont-Ferrand, France. https://hal.science/hal-00523508
6. Karpov, I., Burov, Ye. (2023). Ontolohii u protsesi pryiniattia rishen [Ontologies in the decision-making process]. Visnyk Khmelnytskoho natsionalnoho universytetu, 319, 2, 149-153. https://doi.org/10.31891/2307-5732-2023-319-1-149-153
7. Pavlenko, M. A., Osiievskyi, S. V., Zolotukhina, O. A. (2020). Model pidtrymky protsesiv rozrobky intelektualnykh system pidtrymky pryiniattia rishen [Model for supporting the development processes of intelligent decision support systems]. Telekomunikatsiini ta informatsiini tekhnolohii, 4(69), 131-139. https://doi.org/10.31673/2412-4338.2020.044031
8. 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
9. Kryshchenko, D. O., Pankov, D. V. (2023). Ontolohichnyi aspekt intelektualnoho synerhetychnoho keruvannia tekhnolohichnymy kompleksamy. Suchasni metody, informatsiine, prohramne ta tekhnichne zabezpechennia system keruvannia orhanizatsiino-tekhnichnymy ta tekhnolohichnymy kompleksamy: mater. X Mizhnar. nauk.-tekhn. Internet-konf. (Kyiv, 24 lyst. 2023 r.) [Ontological aspect of intelligent synergistic control of technological complexes. Modern methods, information, software and technical support of management systems of organizational, technical and technological complexes: materials of the X International Scientific and Technical Internet Conference (Kyiv, Nov. 24, 2023)]. K.: NUKhT, 63.
10. Chernova, I. S., Lysenko, V.P. (2023). Ontolohii protsesiv intelektualnoho upravlinnia vyrobnytstvom entomofahiv [Ontologies of processes of intelligent management of the production of entomophages]. Enerhetyka i avtomatyka, 6, 5-16. http://dx.doi.org/10.31548/energiya6(70).2023.005
11. Chernova, I. S., Lysenko, V. P. (2024). Intelektualna pidtrymka pryiniattia rishen u vyrobnytstvi entomofahiv: ontolohichnyi pidkhid. Kontrol i upravlinnia v skladnykh systemakh: KUSS-2024: mater. ХVІI Mizhnar. konf. (Vinnytsia, Zhov. 16-17, 2024) [Intelligent decision support in entomophages production: an ontological approach. Control and management in complex systems: KUCS-2024: materials of the XVII International Conference (Vinnytsia, 16-17 Oct. 2024)]. Vinnytsia: VNTU. https://doi.org/10.31649/mccs2024.3-01
12. Patrakeiev, I. M., Denysiuk, B. I. (2019). Modeliuvannia baz znan v redaktori ontolohii Protégé [Modeling knowledge bases in the Protégé ontology editor]. Mistobuduvannia ta terytorialne planuvannia, 71, 271-282. https://doi.org/10.32347/2076-815x.2019.71.271-282
13. Silahin, O. V., Silahin, Ye. O., Denysiuk, V. O., Denysiuk, A. V. (2023). Rozrobka ontolohichnoi modeli bazy znan «Biblioteka» na bazi seredovyshcha Protégé [Development of an ontological model of the knowledge base "Library" based on the Protégé environment]. Informatsiini tekhnolohii ta kompiuterna inzheneriia, 58(3), 12–21. https://doi.org/10.31649/1999-9941-2023-58-3-12-21
14. Prykhodniuk, V. V., Horborukov, V. V., Franchuk, O. V. (2023). Ontolohichni zasady upravlinnia znanniamy v konteksti navchalno-doslidnytskoi diialnosti [Ontological foundations of knowledge management in the context of educational and research activity]. Naukovi zapysky Maloi Akademii nauk Ukrainy, 3(28), 62-69. http://doi.org/10.51707/2618-0529-2023-28-07
15. Stryzhak, O. Ie., Prykhodniuk, V. V. (2016). Ontolohichnyi pidruchnyk yak vidobrazhennia interaktyvnoi systemy znan. Informatsiini tekhnolohii ta vzaiemodii (IT&I-2016): tezy dopov. III Mizhnar. nauk.-prakt. konf. (8-10 lyst. 2016 r.) [Ontological textbook as a reflection of an interactive knowledge system. Information technologies and interactions (IT&I-2016): theses add. III International science and practice conf. (Kyiv, Nov. 8-10, 2016)]. Kyiv, 59.
16. Chaplinskyi, Yu. P., Subbotina, O. V. (2016). Ontolohiia ta kontekst pry rozviazanni prykladnykh zadach pryiniattia rishen [Ontology and context in solving applied decision-making problems]. Shtuchnyi intelekt, 2, 147-155.
17. Stucky, B., Balhoff, J., Barve, N., Barve, V., Brenskelle, L., Brush, M., Dahlem, G., Gilbert, J., Kawahara, A., Keller, O., Lucky, A., Mayhew, P., Plotkin, D., Seltmann, K., Talamas, E., Vaidya, G., Walls, R., Yoder, M., Zhang, G., Guralnick, R. (2019). Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions. Biodiversity Data Journal 7: e33303. https://doi.org/10.3897/BDJ.7.e33303
18. Lysenko, V. P., Chernova, I. S. (2023). Ontolohichnyi analiz u vyrobnytstvi entomofahiv. Prodovolcha ta ekolohichna bezpeka v umovakh viiny ta povoiennoi vidbudovy: vyklyky dlia Ukrainy ta svitu: mat. Mizhn. nauk.-prakt. konf., prysviachenoi 125-richchiu Natsionalnoho universytetu bioresursiv i pryrodokorystuvannia Ukrainy (Kyiv, 25 trav. 2023 r.) [Ontological analysis in the production of entomophages. Food and environmental security in the conditions of war and post-war reconstruction: challenges for Ukraine and the world: materials of the International Scientific and Practical Conference dedicated to the 125th anniversary of the National University of Life Resources and Environmental Sciences of Ukraine (Kyiv, May 25, 2023)]. Kyiv, 128-130.
19. Chernova, I., Lysenko, V. (2022). Theoretical and Methodological Approaches to the Creation of Cyber-Physical Systems in the Production of Entomophages. 2022 IEEE 9-th International Conference on Problems of Infocommunications. Science and Technology (PIC S&T`2022). Oct. 10-12, Kharkiv, Ukraine, 193-197. https://doi.org/10.1109/PICST57299.2022.10238589
20. Saigal, R., Kumar A. (2005). Visual understanding environment. Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05), Denver, CO, USA, 413-413. https://doi.org/10.1145/1065385.1065517
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
