From the above explanations and practical examples, it becomes clear that semantic networks are particularly suitable for the following tasks:

– Analysis of natural language;

– Categorization of concepts (e.g., terms) into hierarchies and networks;

– Determining the thematic proximity of the terms and texts;

– Structuring of meta-knowledge (e.g., internet resources);

In contrast, modeling mathematical expressions and numerical information in the form of semantic networks does not seem appropriate. Other ontology approaches, or possibly a combination of several approaches, would be advisable for this purpose.