The current development of artificial intelligence technologies involves many aspects of incorporating tools for analyzing and generating content related to social phenomena, communication, and human-robot interaction. Semantic gaps are understood as differences in meaning between constructs that are constructed in different systems of representation or worldviews. One of the challenging tasks is the development of tools and models for analyzing social interaction and communication, taking into account the psychological context. This task defines the direction of studying the semantic content of information, which includes the analysis of not only language and texts, but also images and videos. The question of the role of semantic gaps in sign-symbolic communication has its roots in the linguistic theory of lacunae. Among the areas of artificial intelligence reasoning, the modeling of everyday reasoning based on «common sense» stands out. The topic of semantic gap was addressed in the early 2000s as part of research on media and the need for semantic accuracy in data processing. Further research on modeling and recognizing complex social phenomena has further elaborated on this fundamental issue in the topic of semantic gap. In information technology, this concept is viewed as a semantic difference in the description using different sign systems, such as text and images.
DOI: 10.34823/SGZ.2026.3.262006
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Chuganskaya A. A. The problem of semantic gaps: From theories in the humanities to building models for artificial intelligence // Social and humanities knowledge, N 3, 2026, pp. 222–224.