A.Yu. Novikov

Information processing for solving the control problems in the professional applied areas has always been and will be one of the main trends in the research of the world science. This is because of up till now there are no universal models of such processing that are capable of ensuring the required efficiency of control. At the same time the results produced by the automated systems of information processing and control being developed often fall short in terms of grounding and profoundness of solutions of the ones received by manual, non-automated control. One of the reasons for the status quo is non-use of the semantics in the applied areas unlike the way it does an experienced manager. In most problems of control (for example, in organizational or organizational and technical systems) the initial information as well as the information being received back represent a text in its natural language. It is the semantic interpretation of such texts that is the subject of the research in this article. And the article does not deal with the whole problem but only with one of its parts that is discrimination of the discourse structure of the text description. Knowing the discourse structure will allow to determinate the functional relations of its elements, which, in its turn, will make it possible to get then their semantic interpretation. The article is about the problem of formalization of the ER-texts for their further automated processing. It deals with universal conceptual models for the consecutive transformation of texts up to the level of the discourse graphs based on the use semantics in the knowledge domain.