Method of identification of atomic elements of information space with the help of a unified information space




unified information space, information system, parameters of the information space element, artificial intelligence


The article considers a method that allows to identify the input atomic element of the information space by combining information spaces into a unified information space (this is an information model of a complex subject area, which includes information objects, relationships between them, space environment and processes). This method allows you to refine the missing features for the input element to enable it to be added to a unified information space.

Pages of the article in the issue: 47 - 54

Language of the article: Ukrainian


1. BERSON A., DUBOV L. Master Data Management and Customer Data Integration for a Global Enterprise // McGraw-Hill, 2007.
2. MACIASZEK L.A. Managing Complexity of Enterprise Information Systems. In: Seruca I., Cordeiro J., Hammoudi S., Filipe J. (eds). Enterprise Information Systems VI. Springer, Dordrecht. 2006. Pp. 30-36.
3. VLASYK H., ZAMRII I., SHKAPA V., LAPTIEV S., KALYNIUK A., LAPTIEVA T. The Method of Solving Problems of Optimal Restoration of Telecommunication Signals // 2021 IEEE 3th International Conference on Advanced Trends in Information Theory (ATIT), December 15-17, 2021, pp. 71-75.
4. SOBCHUK V.V. Metodyka stvorennia yedynoho informatsiinoho prostoru na vyrobnychomu pidpryiemstvi z funktsionalno stiikym vyrobnychym protsesom // Naukove periodychne vydannia «Systemy upravlinnia, navihatsii ta zviazku», 2019, Vol. 6 (58), pp. 84-91.
5. SOBCHUK V., ZAMRII I., VLASYK H., TSVIETKOVA Yu. Strategies for Control Automated Production Centers to Ensure the Functional Stability of Enterprise Information Systems // 2021 IEEE 3th International Conference on Advanced Trends in Information Theory (ATIT), 2021, pp. 61-66.
6. ZAVGORODNIY V.V., SHCHERBAK S.S. Edinoye informatsionnoye prostranstvo proizvodstvennykh predpriyatiy na osnove svyazannykh dannyakh // Systemy obrobky informatsii, 2013, ? 2, ??. 275–278.
7. SCHMIDT A., OTTO B. A Method for the Identification and Definition of Information Objects // In M. Pamela Neely, Leo Pipino, John P. Slone, editors, Proceedings of the 13th International Conference on Information Quality, MIT, Cambridge, MA, USA, 2008, pp. 214-228.
8. DOERR M., TZITZIKAS Ya. Information Carriers and Identification of Information Objects: An Ontological Approach // Computer Science, 2012, pp. 1-30.
9. NEILING M. Identification of Real-world Objects in Multiple Databases. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelber, 2006.
10. SENJIAN A., PEURSUM P., WANQUAN L., VENKATESH S. Efficient algorithms for subwindow search in object detection and localization // IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, June 20– 25, 2009: proceeding, IEEE, Washington, D. C, USA, pp. 264– 271.
11. MOSKALENKO V. V., KOROBOV A. G. Informacijno-ekstremal’ne mashynne navchannja systemy identyfikacii’ ob’jektiv na miscevosti // Zhurnal inzhenernyh nauk, 2016, Vol. 3, No. 1, pp. 1-7.
12. THOME G., SOLLBACH W. Grundlagen und Modelle des Information Lifecycle Management // Springer. Berlin, 2007.
13. DODONOV A., MUKHIN V., ZAVGORODNII V., KORNAGA Ya., ZAVGORODNYA A. Method of searching for information objects in unified information space // System research and information technologies, 2021, ? 1, pp. 34–46.
14. GERSHKOVICH M.M., BIRYUKOVA T.K. The tasks of identification of informational objects in area-spread data arrays // Systems and Means of Informatics, 2014, ? 24(1), pp. 224–243.




How to Cite

Zamrii, I., & Vyshnivskyi, V. (2022). Method of identification of atomic elements of information space with the help of a unified information space. Bulletin of Taras Shevchenko National University of Kyiv. Physics and Mathematics, (3), 47–54.



Computer Science and Informatics