The research is devoted to the current cross-disciplinary problem of the knowledge organization for information search intellectualization and knowledge extraction acceleration by means of the specialized software - the expert system. The paper shows that an effective form of knowledge organization in the expert system is the terminological network of subject domain; the network can be structured on the basis of prototypical semantic models of terms interaction which reflect the relations of the concepts designated by terms. The authors reconstruct the fragment of the terminological network of nanotechnologies with the top-term nanoliquid and present it in the article. While analyzing definitions of the terms included into the network and the fragments of scientific publications with terminological units of the analyzed subject domain, the authors define the following semantic categories: Material, Substance, Natural object, Tool, Characteristic, Process. The paper reveals the prototypical models of the terms interaction reflecting the systemic relations between the term "nanoliquid" and its adjacent terms: generic, partitive, attributive, the relations between targeted object and result, between material and process. The article shows that the term "nanoliquid" is introduced in hierarchical classification of the nanostructured materials and has various semantic relations both with terms of one category and with terms of all other semantic categories.
The article focuses on the space research technical terms of the category Locus and sets of adjacent technical terms in fragments of the terminological network. We argue that the technical terms of the category Locus have the potential to establish semantic relations of certain types with the technical terms of certain categories only, thus forming prototypic semantic schemes. We consider the categories of the defined first and second order technical terms and the types of semantic relations between them. The productive and non-productive semantic relations as well as those that are not characteristic of the category Locus are analyzed.
Ministry of science and higher education of the Russian Federation that financially supported the study: project No. 34.3234.2017/PCh "Development of linguistic principles of building an expert system for academic knowledge representation based on semantic terminological networks construction. "
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