Conceptual modeling of domain lexica

The article describes a study in which a methodology for conceptual modeling of the domain lexica was developed and was applied to the domain of the Russian-language scientific articles on the integrative study of the physiology of athletes (ISPhA). The research methodology is corpus data-driven and includes several interrelated steps from the analysis of linguistic material to the formal presentation of its results based on automated and manual corpus processing. Automated natural language processing tools used to build the suggested conceptual model of the domain lexica were developed by the authors of this article. The main elements of the model are i) the domain ontology, ii) onto-lexicon, that includes content-relevant lexical units of the domain corpus, the meaning of which are associated to one or more concepts of the domain ontology, and iii) the conceptual and statistical characteristics of the domain content-relevant lexica. The calculation and representation of the conceptual and statistical characteristics of the domain lexica are based on the conceptually annotated corpus.