Development system for coordination of activities of experts in the formation of machineschetable standards in the field of military and space activities based on ontological engineering: a case study

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.288542

Keywords:

smart-standard, standard development, identifying keywords, harmonized standard, national standard

Abstract

Standardization and technical regulation involve the digitization of international and regional standards into "smart" standards, introducing new requirements for the presentation of complex industrial manuals. The introduction of artificial intelligence and machine learning into the process of standardization, improving process automation, data analysis will provide an opportunity to create innovative standards. Creation of machine-readable standards and their presentation in the form of a database will contribute to better interoperability between systems.

The article demonstrates the method of ontological engineering for the automation of partial methodological examination of documents in accordance with the National Standardization Plan.

As part of the experiment, an independent tool was developed, based on the extraction of qualitative data, using an uncontrolled automatic keyword extraction algorithm. The algorithm does not require the creation of a learning corpus, can be applied to any text and language, and does not have limitations on the amount of processed data. The algorithm provides adjustment of the parameters of the repetition of keywords, with the possibility of taking into account less important keywords.

The work presents the following components: model classification standards, essence extraction module, categorization, thesaurus formation, monitoring and analysis. Calculations were carried out using formalization, determination of the target function, establishment of similarity measures, and description of document features. The work presents the theoretical aspect of application, design and description of the functional system.

Supporting Agency

  • Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (grant No. AP09058441 "Building a system of intelligent control of the processes of development and harmonization of standards within the framework of interstate and national standardization based on ontological engineering"

Author Biographies

Anar Utegenova, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev

PhD

Department IT Engineering

Akylbek Bapyshev, INT-SAT Alatau LLP

Master of Science

Zhanna Suimenbayeva, INT-SAT Alatau LLP

Master of Science

Alisher Aden, INT-SAT Alatau LLP

Master of Science

Ruslan Kassym, Academy of Logistic and Transport

PhD, Senior Lector

Department Information Communication Technologies

Serikov Tansaule, S. Seifullin Kazakh Agro Technical Research University

Associate Professor

Department of Radio Engineering, Electronics and Telecommunications

References

  1. DeNardis, L. (Ed.) (2011). Opening Standards: The Global Politics of Interoperability. The MIT Press, 272. Available at: http://www.jstor.org/stable/j.ctt5hhmcx Last accessed: 07.09.2023
  2. Chirumalla, K. (2021). Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach. Technovation, 105, 102256. doi: https://doi.org/10.1016/j.technovation.2021.102256
  3. Czarny, D., Olsen, H. et al. (2020). Project 2 Standards of the Future – Pilot Petroleum sector. Internal CCMC-Report.
  4. Czarny, D., Salcedo, I. et al. (2020). Classification Sheme and Use Cases. Internal IEC SG 12 Report.
  5. Czarny, D., Wischhöfer, C. (2020), Aktuelles zum Thema SMART Standards – Die IDiS-Initiative. DIN-Mitteilungen. Berlin: Beuth-Verlag, 5–9.
  6. Esser, M., Koch, H., Willuhn, H. (2017). Digitale Content-Dienstleistungen aus dem zentralen XML Content Repository – Zentrale Ablage von Inhalten und Trennung der Inhalte von ihrer Darstellungsform. DIN-Mitteilungen. Berlin: Beuth-Verlag, 18–23.
  7. Huang, T. (2020). Design and Key Technology Research of Civil-Military Integration Regulations and Standards Management System. Smart Innovation, Systems and Technologies, 201–207. doi: https://doi.org/10.1007/978-981-15-5073-7_21
  8. Ryu, H.-E. (2021). Standards Harmonization and Asymmetric Compliance Technology. Journal of Korea Trade, 25 (3), 1–20. doi: https://doi.org/10.35611/jkt.2021.25.3.1
  9. Harmonised Standards. Available at: https://single-market-economy.ec.europa.eu/single-market/european-standards/harmonised-standards_en
  10. Chaisricharoen, R., Srimaharaj, W., Chaising, S., Pamanee, K. (2022). Classification Approach for Industry Standards Categorization. 2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), 308–313. doi: https://doi.org/10.1109/ectidamtncon53731.2022.9720348
  11. Standards in Europe (2023). Available at: https://europa.eu/youreurope/business/product-requirements/standards/standards-in-europe/index_en.htm Last accessed: 01.10.2023
  12. Ford-Baxter, T., Faulkner, K., Masunaga, J. (2022). Situating Information Literacy: A Case Study Exploring Faculty Knowledge of National Disciplinary Standards and Local Program Learning Outcomes. The Journal of Academic Librarianship, 48 (3), 102523. doi: https://doi.org/10.1016/j.acalib.2022.102523
  13. Barthelemy, F., Cochez, M., Dimitriadis, I., Karim, N., Loutas, N., Magnisalis, I. et al. (2022). Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level. Electronic Government, an International Journal, 18 (2), 137–180. doi: https://doi.org/10.1504/eg.2022.121856
  14. Reategui, E., Bigolin, M., Carniato, M., dos Santos, R. A. (2022). Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm. Machine Learning and Knowledge Extraction. Berlin, Heidelberg: Springer-Verlag, 233–243. doi: https://doi.org/10.1007/978-3-031-14463-9_15
  15. Mehrabi, E., Mohebi, A., Ahmadi, A. (2021). Improved Keyword Extraction for Persian Academic Texts Using RAKE Algorithm; Case Study: Persian Theses and Dissertations. Iranian Journal of Information Processing and Management, 37 (1), 197–228. doi: https://doi.org/10.52547/jipm.37.1.197
  16. Miah, M. S. U., Sulaiman, J., Azad, S., Zamli, K. Z., Jose, R. (2021). Comparison of document similarity algorithms in extracting document keywords from an academic paper. 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM). Pekan, 631–636. doi: https://doi.org/10.1109/icsecs52883.2021.00121
  17. Yang, Y., Wu, Z., Yang, Y., Lian, S., Guo, F., Wang, Z. (2022). A Survey of Information Extraction Based on Deep Learning. Applied Sciences, 12 (19), 9691. doi: https://doi.org/10.3390/app12199691
  18. Nie, B., Sun, S. (2017). Using Text Mining Techniques to Identify Research Trends: A Case Study of Design Research. Applied Sciences, 7 (4), 401. doi: https://doi.org/10.3390/app7040401
  19. Schacht, M., Wischhöfer, C. (2014). Nutzen semantischer Technologien in der Normung und Anwendung - Das Heben eines Wissensschatzes: Normen semantisch analysieren. Inhalte zielgerichtet extrahieren und in Folgeprozessen verwenden. DIN-Mitteilungen Oktober 2014. Berlin: Beuth Verlag, 6–11.
  20. Discussion of ST RK projects. Available at: https://www.ksm.kz/public-discussion/standards/discussion-of-draft-of-st-rk/ Last accessed: 01.10.2023
  21. Baibolov, A., Sydykov, S., Alibek, N., Tokmoldayev, A., Turdybek, B., Jurado, F., Kassym, R. (2022). Map of zoning of the territory of Kazakhstan by the average temperature of the heating period in order to select a heat pump system of heat supply: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44 (3), 7303–7315. doi: https://doi.org/10.1080/15567036.2022.2108168
  22. Kassym, R. T., Taldybayeva, A. S., Omar, D. R., Alibek, N. B., Kuder, K. M., Isakhanov, M. Z., Omarov, R. A. (2021). Experimental results of functional characteristics of IOT for free range sheep breeding. International Journal of Agricultural Resources, Governance and Ecology, 17 (2/4), 301–315. doi: https://doi.org/10.1504/ijarge.2021.10044149
  23. Utegenova, A., Naumenko, V., Alenova, R. (2021). Author's certificate No. 610144604. Ontological Engineering-Based Standards Development Process Management System.
  24. Baimuratov, O. A. (2022). Copyright certificate No. 27104. WEB Scraping of ISO standards. 13.06.2022.
  25. Baimuratov O. A. (2022). Author's certificate No. 27082. Collector of standard data of Kazakhstan. 10.06.2022.
  26. Bapyshev, A. M., Tulendi, A. A. (2022). Harmonization of Standards Taking into Account the Automatic Verification of Correctness and Consistency of Terminology Based on Machine Learning Technologies. Development of Education and Science in New Kazakhstan. Nur-Sultan, 189–192.
  27. Utegenova, A. U., Suimenbayeva, Zh. B., Bapyshev, A. M., Áden, A. E., Sakan, E. M. (2022). Methods for extracting terms from normative documentation based on ontology. Problems of optimization of complex systems. XVIII International. Almaty, 174–181.
  28. Utegenova, A., Ermoldina, G., Bapyshev, A., Naumenko, V., Aden, A. (2022). Ontological model of knowledge representation and organization, taking into account the recommendations of international standards in the educational process of the military university. KazATC Bulletin, 123 (4), 307–318. doi: https://doi.org/10.52167/1609-1817-2022-123-4-307-318
  29. Utegenova, A., Ermoldina, G., Bapyshev, A., Naumenko, V. (2023). System of intelligent control of processes of development and harmonization of standards in the field of military and space activities on the basis of ontological engineering. KazATC Bulletin, 127 (4), 148–159. Available at: https://vestnik.alt.edu.kz/index.php/journal/article/view/1315
  30. Utegenova, A. U., Yermoldina, G. T., Suimenbaeva, Zh. B., Aden, A. E. (2023). Development of an intelligent system for identifying entities in national standards for the organization of terminological unity. Vestnik KazATK, 127 (4).
Development system for coordination of activities of experts in the formation of machineschetable standards in the field of military and space activities based on ontological engineering: a case study

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Published

2023-10-31

How to Cite

Utegenova, A., Bapyshev, A., Suimenbayeva, Z., Aden, A., Kassym, R., & Tansaule, S. (2023). Development system for coordination of activities of experts in the formation of machineschetable standards in the field of military and space activities based on ontological engineering: a case study. Eastern-European Journal of Enterprise Technologies, 5(2 (125), 67–77. https://doi.org/10.15587/1729-4061.2023.288542