Integration of information resources in situation centers

Drilenko Maxim Vladimirovich, Simankov Vladimir Sergeevich

Statement of the problem: there are separate approaches to the formation of a single information space between various information resources, often data warehouses are presented in the form of manually generated unique algorithms for converting tables from various sources, which causes the need to increase organizational resources when new significant volumes of unstructured information appear, which leads to economic and operational losses, which is impossible in the conditions of the functioning of an intelligent situational center. The aim of the work is to form a methodology for combining information resources from various sources to solve the problems of an intelligent situational center, which is necessary and important when processing large volumes of unstructured information. Methods used: methods of system analysis, methods of object-oriented analysis and design. Result: a technique for the formation of physical data models from heterogeneous unstructured and semi-structured information is proposed. This technique is compatible with four types of NoSQL DBMSs: Columns, Documents, Graphs, and Key Value. The data models (conceptual, logical and physical) used in the developed process correspond to meta-models: from conceptual to logical, and then from logical to physical. Practical relevance: the presented solution is proposed to be implemented in the form of a hardware and software complex using the presented methodology for integrating information flows of various situational centers. The implementation will provide an adaptive dynamic transformation of incoming data and their further use within the situational center.

Keywords:data integration, intelligent situational centers, data processing, data analysis, situation center consolidation, information flow consolidation, data processing