Development of Information Consolidation Methods in Situation Awareness Systems
Abstract
The scientific field of information consolidation and the development of situation awareness systems is gaining increasing relevance due to the rapid advancement of intelligent autonomous agents and systems based on artificial intelligence. The development of effective methods for integrating, harmonizing, and representing information plays a crucial role in enhancing the adaptability, accuracy, and contextual awareness of modern digital systems. For the further advancement of this field, it is essential to conduct a comprehensive analysis of previous achievements, as most recent developments are based on already established methods, architectures, and practical implementations. This paper presents a review of scientific approaches and analyzes the main trends in the development of information consolidation methods in situation awareness systems. In particular, it addresses key terminology, stages in the evolution of the situation awareness concept, approaches to knowledge representation, the role of ontological models, and methods for processing fuzzy and contextual information. The study also identifies current challenges, open issues, and outlines promising directions for future research
References
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