MODEL OF DATA REPRESENTATION BY THE AUTOMATIC RUBRICATION OF DIFFERENT INFORMATION IN PROTECTED INFORMATION - ANALYTICAL SYSTEMS
The article deals with the problem of automatic rubrication of heterogeneous information in secure information and analytical systems (IAS), which allows to reduce the time spent in the search and selection of the required data. A mathematical model of data presentation is proposed, which is based on the modernized method of latent semantic analysis (MLSA) and a dictionary of key phrases with an increasing coefficient. The MLSA is used to identify the semantic dependencies between the terms of documents and to obtain the correspondence coefficient of the compared vectors.It is shown that the use of the proposed modernized method of latent - semantic analysis in conjunction with a dictionary of key phrases with an increasing coefficient makes it possible to increase the efficiency of automatic rubrication of heterogeneous information in the IAS.