In the article it is considered necessity of unstructured information inclusion into analytical provision of corporative management which includes Data Mining and Text Mining. It is shown the necessity of OLAP-cube technology to present multidimensional area of objective and true knowledge from documents. It is suggested to use comparative identification method to extract semantic identifiers of notion hierarchy. It is developed technology for development of attribute of information notions in OLAP-cube collection.
unstructured information, information-analytical management, military unit, Text Mining, OLAP-cubes, knowledge extraction, comparative identification method