O.M. Ataeva1, N.P. Tuchkova2

1-2 FRC CSC RAS (Moscow, Russia)

1 oataeva@frccsc.ru, 2 ntuchkova@frccsc.ru

Problem Statement. This paper examines a pressing issue: orchestrating semantic analysis methods to support data storage and na­vigation in the process of supporting scientific research. To address this issue, semantic analysis methods and the conditions for their applicability to various types of data are examined.

Objective. To develop a semantic data infrastructure for intelligent processing of scientific information.

Results. A multi-level ontology is proposed as a basis for representing scientific knowledge, along with a semantic scientific graph for knowledge navigation.

Practical Relevance. The obtained results demonstrate the applicability of the proposed ontological approach for the integration and semantic analysis of scientific data, coupled with the use of large language models during knowledge graph navigation.

Ataeva O.M., Tuchkova N.P. Orchestration of semantic analysis methods. Highly Available Systems. 2026. V. 22. № 1. P. 99−104. DOI: https://doi.org/10.18127/j20729472-202601-20 (in Russian)

1. https://openai.com/ru-RU/index/introducing-prism/ (dostup 14.02.2026).
2. https://app.dotrace.ru (dostup 14.02.2026).
3. Ataeva O., Serebryakov V., Tuchkova N. Ontological approach to a knowledge graph construction in a semantic library. Lobachevskii J. Math. 2023. V. 44. № 6. P. 2229–2239. https://doi.org/10.1134/S1995080223060471
4. Ataeva O.M., Tuchkova N.P. Navigation with Large Language Models in Subject Domain of Ordinary Differential Equation. Lobachevskii J. Math. 2025. V. 46. № 6. P. 2716–2728. https://doi.org/10.1134/S1995080225608227
5. Budzko V.I., Ataeva O.M., Tuchkova N.P. Avtomatizaciya dostupa k informacii pri navigacii po danny`m semanticheskoj biblioteki i integracii grafa znanij s yazy`kovoj model`yu. Sistemy` vy`sokoj dostupnosti. 2025. T. 21. № 2. S. 5–11. https://doi.org/10.18127/ j20729472-202502-01
6. Ataeva O.M., Tuchkova N.P. Adaptation of the language model for mathematical texts in the semantic library. System Informatics. 2025. № 27. P. 59–175.