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

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 systems 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.