Integration of information resources of situational centers

Abstract

The existing approaches towards formation of a single information space for accessing from various information resources are not effective enough from the economic and operational perspective. The subject of this research is the information assets from different sources used for the work of intelligent situational centers. The goal lies in the development of methodology for unification of such resources into a single information space, which is essential for the processing of large volumes of unstructured and poorly structured information. The article explores the models and types of data, information space of the activity for determining the end type of data representation, and the algorithm of transitioning from the object to NoSQL model. As a result of the conducted research, the author built a new information structure of the intelligent situational center. The proposed methodology for the formation of physical data models is compatible with the four types of NoSQL databases: columns, documents, graphs, and a key value. The data models (conceptual, logical, and physical) used in the developed process comply with the meta-models: from conceptual to logical stage, followed by from logical to physical stage. The offered solution should be implemented in the form of a hardware-in-the-loop complex that utilizes the described methodology for integrating the information flows from various situational centers. This would ensure the adaptive dynamic transformation of incoming data and their further use within the situational center.