VISUAL DICTIONARIES AS MULTIMODAL KNOWLEDGE SYSTEMS: A COGNITIVE-LEXICOGRAPHIC FRAMEWORK FOR MEANING REPRESENTATION IN DIGITAL ENVIRONMENTS

Abstract

The rapid expansion of digital communication has fundamentally transformed lexicographic practices, leading to the emergence of visual dictionaries as complex multimodal knowledge systems rather than simple lexical reference tools. This study investigates visual dictionaries from a cognitive-lexicographic perspective, examining their capacity to represent lexical meaning through the interaction of verbal, visual, and conceptual resources. The research aims to develop a theoretical framework for understanding visual dictionaries as independent objects of lexicographic inquiry within contemporary digital environments. A qualitative methodology combining descriptive, comparative, cognitive, and multimodal discourse analysis was employed. The findings indicate that visual dictionaries operate through a network-based architecture of meaning representation that differs significantly from traditional alphabetical lexicographic models. Their effectiveness is linked to multimodal cognition, conceptual categorization, and visual-semantic mapping processes. The study further demonstrates that digital visual dictionaries facilitate vocabulary acquisition, conceptual learning, and cross-cultural communication by reducing linguistic barriers and enhancing cognitive accessibility. It is argued that visual lexicography should be recognized as an emerging interdisciplinary field situated at the intersection of lexicography, cognitive linguistics, semiotics, and digital humanities. The article concludes by proposing a cognitive-lexicographic model that may serve as a theoretical basis for future research and the development of next-generation lexicographic resources.