This article is devoted to a comprehensive study of scientific and methodological foundations for designing and improving interactive electronic scientific publications as an innovative tool for optimizing scientific communication processes and knowledge acquisition. The evolutionary path of scientific publishing from traditional printed formats to modern multimedia interactive platforms is analyzed, revealing key trends in the digital transformation of the academic environment. The cognitive aspects of perceiving interactive scientific content are systematized, taking into account the principles of cognitive psychology, neuroscience, and dual coding theory. A conceptual model of information architecture for complex scientific data is developed, considering the specifics of interdisciplinary research and personalization needs. Methodological approaches to implementing artificial intelligence, machine learning, and semantic technologies for automating annotation processes, intelligent search, and recommendation system formation are substantiated. The potential of blockchain technologies for ensuring copyright protection, scientific data verification, and creating transparent review mechanisms is explored. The technological, economic, and legal aspects of practical implementation of innovative publishing solutions are analyzed, including challenges of standardization, compatibility, and longterm preservation. Development prospects in the field are identified, considering trends in virtual and augmented reality, neurointerfaces, and quantum computing. The research results form a theoretical and practical foundation for further development of interactive scientific publications and optimization of academic communication.
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