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Journal Dynamics of Complex Systems - XXI century №3 for 2026 г.
Article in number:
Integration of ontological models and business processes in an enterprise information and analytical system
Type of article: scientific article
DOI: 10.18127/j19997493-202603-03
UDC: 004.9:658.9:007.3
Keywords: Information and analytical system methodology architecture ontological model business processes BPMN REST platform semantic model automation data management optimization
Authors:

E.Yu. Bolshakov1, V.O. Novitsky2

1, 2 ROSBIOTECH (Moscow, Russia)
1 emil.bolshakov@mail.ru, 2 nvo60@mgupp.ru

Abstract:

Formulation of the problem. Modern enterprises face the need to integrate data and business processes, which is hindered by the gap between structural data and their semantic representation. Traditional BPM systems and manual ontology creation do not provide efficient information management or adaptability to changing business environments.

Results. A method for automatic ontology generation from CRUD operations of a REST platform is proposed and formalized. A comparative analysis of four existing integration methods against seven criteria is conducted. A five-level system architecture is developed that provides automatic generation, event-driven synchronization, and semantic annotation of business processes.

Practical significance. The comparative evaluation demonstrated a 5–8 times reduction in ontology creation effort, a 10–20 times reduction in update effort, and semantic coverage of 72–93%. The proposed approach improves business process management quality and accelerates the deployment of information and analytical systems.

Pages: 28-39
For citation

Bolshakov E.Y., Novitsky V.O. Integration of ontological models and business processes in an enterprise information and analytical system. Dynamics of complex systems. 2026. V. 20. № 3. P. 28−39. DOI: 10.18127/j19997493-202603-03 (in Russian).

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Date of receipt: 20.03.2026
Approved after review: 03.04.2026
Accepted for publication: 29.04.2026