Linguistic principles of academic knowledge systemization and organization for its extraction from the data base of the expert system

The article discusses the issues of the systemacy of terms representation in the applied models of academic knowledge organization. The linguistic principles of modeling the academic knowledge of a particular domain as a terminological network and its organization in the data base for its extraction while working with the expert system are defined. The step-by-step algorithm of knowledge systemization and the related data is described based on the example of the editor regime of the developed expert system. The variants of academic concepts correlation are considered. The article also reasons the significance of differentiation of the categories of academic concepts and the types of systemic relations between them, the indication of the grammatical forms of terms, the direction of the vectors of the systemic relations and other information for the accuracy and completeness of data extraction.