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News
June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

 

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Проектирование онтологий на основе модели предметной области

Информатизация образования и науки. 2011. № 1(9). С. 88–105.
Болотова Л. С., Starykh V.

The approach to formation ontologies on the basis of model of a subject domain which designing is carried out by a method of the situational analysis is considered. Ideas of situational management are put in a basis of a method by big systems, the conceptual analysis and designing of systems of organizational management, and also the theory of semiotics models. Substantive provisions of a method, its is formal-logic device of the analysis of conceptual structures of individual decisions and formations of conceptual structure of complete model of a subject domain are resulted. Questions of automatic removal ontologies various this model are considered.

Research target: Mathematics Computer Science
Priority areas: IT and mathematics business informatics
Language: Russian
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Keywords: онтологияпроектированиебаза знаний концептуальный анализинженерия знанийситуационный анализситуационное управлениемодель предметной области
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