Article information
2023 , Volume 28, ¹ 4, p.94-108
Berman A.F., Dorodnykh N.O., Nikolaychuk O.A., Yurin A.Y.
Technology for creating knowledge-based systems for studying the dynamics of the state of technical objects
The paper addresses the descripton of technology for the creation of knowledge-based systems. The systems are aimed at studying the dynamics of technical conditions with the help of a modeldriven approach and ontological modelling. The technology is intended for end users who are experts in a particular subject domain. While studying the dynamics of the technical condition, the authors understand the problems of its genesis, identification, and forecasting. The technology is based on the principles of model-driven architecture (MDA), which defines the process of creating software and its components as a sequence of stages for building certain models and their transformation. The proposed technology implements the MDA approach for creating knowledge-based systems. The novelty of the technology is its problem-oriented specialization and ability to use various models for knowledge representation and methods of their processing, depending on the data and knowledge available to the researcher. The technology includes the following stages: the construction of problem-oriented domain models, in particular the ontology of the object under investigation, the task, and the methodology of its solution; the construction of platform-independent models — the description of rules, cases, decision tables and algorithms for solving the problem; the construction of platform-dependent models — within this stage, the end user must clarify the rule models, cases, and decision tables, taking into account the features of a certain knowledge representation/programming language. The technology is implemented in the form of a set of software tools integrated “by data”. The approbation of the approach was carried out in the cases of industrial safety inspection and decision support when diagnosing aircraft systems
Keywords: dynamics of technical state, model-oriented approach, knowledge-based systems, ontology, case-based reasoning, rule-based system, decision tables
Author(s): Berman Alexander Fishelevich Dr. , Professor Position: General Scientist Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-30-39 E-mail: bafbam@mail.ru SPIN-code: 7033-7576Dorodnykh Nikita Olegovich PhD. Position: Senior Research Scientist Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-30-19 E-mail: tualatin32@mail.ru SPIN-code: 1922-2224Nikolaychuk Olga Anatol'evna Dr. , Associate Professor Position: Leading research officer Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-31-52 E-mail: nikoly@icc.ru SPIN-code: 7354-3223Yurin Alexander Yurievich Dr. , Associate Professor Position: Research Scientist Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-30-19 E-mail: iskander@icc.ru SPIN-code: 5830-7930 Bibliography link: Berman A.F., Dorodnykh N.O., Nikolaychuk O.A., Yurin A.Y. Technology for creating knowledge-based systems for studying the dynamics of the state of technical objects // Computational technologies. 2023. V. 28. ¹ 4. P. 94-108
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