Creation and update of terminological systems by means of semantic analyzer

An automated creation and update of terminological systems is an urgent challenge today. Such systems are used to solve a wide range of problems concerning the process of text analysis. The problem associated with these systems is substantiated by the need to permanently update current information. In the paper we propose a method, which automatically creates and updates terminological systems with the help of an algorithm. The algorithm overlaps semantic chains that are derived from a set of semantic dependencies built by a semantic analyzer applied to every sentence of the text. The advantage of this method, developed to create and update terminological systems, is based on the fact that any Russian authentic textual data may be used as an analyzed text. Encyclopedia dictionaries or glossaries can also be studied with the help of the analyzer. This method is instrumental in the update of the system with the information from new textual sources: scientific papers, books, scientific reports, news or analytical reviews.