Knowledge-Based Information Technologies in Contemporary Literary Studies Amid Conditions of Dynamic Uncertainty, Turbulence and Systemic Risks (SHIVA and WARMI Perspectives)

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Published: 26.08.2026

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Krasniuk Svitlana
Kyiv National University of Technologies and Design

Abstract

The article explores the features and specifics of the application of Knowledge-Based IT in modern literary studies in the context of the dynamics of uncertainty, turbulence and systemic risks. The possibilities of ontologies, knowledge graphs, expert syst ems and hybrid intelligent technologies for structuring and analyzing literary knowledge are revealed. The prospects of integrating KB-IT, NLP, machine learning and large language models within the framework of SHIVA and WARMI concepts of the external environment are substantiated.

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Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 307 (2026): 8th ISPC «Recent Advances in Global Science» (August 26-28, 2026; Vilnius, Lithuania).

Section

Literary studies
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Biography

Krasniuk Svitlana, Kyiv National University of Technologies and Design

Senior Lecturer at the Department of Philology and Translation

How to Cite

Krasniuk, S. (2026). Knowledge-Based Information Technologies in Contemporary Literary Studies Amid Conditions of Dynamic Uncertainty, Turbulence and Systemic Risks (SHIVA and WARMI Perspectives). Scientific Collection «InterConf», 307, 66–72. https://interconf.openpubarchive.com/index.php/proceeding/article/view/63

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