ntelligent Lexico-Conceptographic Systems: Integrating Cognitive Technologies, Ontologies, and Dynamic Knowledge Management
Максим Вікторович Надутенко · Scientific Notes of Junior Academy of Sciences of Ukraine · 2025
Modern intelligent systems require innovative approaches to managing large volumes of ever-changing knowledge. This article explores the conceptual foundations of building intelligent lexico-conceptographic systems that combine cognitive technologies, ontologies, and dynamic knowledge compression. Special emphasis is placed on the use of ontologies for knowledge formalization and structuring, enabling adaptability, relevance, and transparency in the processes of integrating new data. The proposed system is based on conceptographic analysis, which formalizes knowledge in the form of concept graphs and relationships between them. The use of ontologies ensures hierarchical structuring of knowledge, its transferability, and the ability to adapt to diverse usage contexts. The integration of dynamic knowledge compression into the system allows for the optimization of data volume, preserving only the most relevant information for solving specific tasks. Additionally, approaches to system adaptation through cognitive qualia for accounting emotional context in data processing are discussed. The proposed architecture provides multidimensional representation of knowledge, enhancing the productivity of lexicographic systems in real-time. It combines advantages such as automatic dictionary base updates, multi-level semantic classification, and adaptation to new queries. The implementation of intelligent lexico-conceptographic systems holds significant potential for improving educational, linguistic, and cognitive platforms, particularly in the field of large text data analysis. The findings of this study conclude that the proposed approaches enhance the flexibility and efficiency of knowledge integration in dynamic environments. Prospects for further research include the development of methods for integrating ontologies with decentralized cognitive architectures to improve system adaptability across various domains.