The activities of any large organization requires the work of specialists with a large volume of unstructured information in order to obtain and extract the necessary knowledge to interact with partners, decision-making, etc. An array of unstructured textual information is not adapted to structuring and semantic search. Thus, development of intelligent algorithms and text analysis methods for dynamic generation of the knowledge base contents is needed. Extract of syntagmatic structure of a text and further representation of extracted knowledge in the form of a single unified ontology allows to get access to the knowledge base for solving complex problems.
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