Abstract: The given article is devoted to some most popular modern forms of knowledge structuring (semantic field, grafosemantic modeling, frame, matrix, semantic network, ontology, expert system). The authors of the article analyse the variety of their constructions and the opportunities they give. The analyzed models have some common and different features in their main tasks. The basic methods of the research include methods of generalization and interpretation of obtained data, comparison and definitional analysis which determined the advantages and the disadvantages of the analyzed models. Comparative analysis and deductive approach provided insight into one of the most successful models of scientific knowledge structuring - terminological network – that ensures the study of system link between the terms. This conclusion and the offered evidence demonstrate why the authors regularly use the terminological network as the model of scientific knowledge representation in their research.