Alex N. Kopaygorodsky, Timur G. Mamedov

Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences

The article discusses methods of building an intelligent information system to support expert decisions on strategic innovative development of the energy sector. The necessity of using Big Data analysis methods has been substantiated. Architecture of an integrated repository of an intelligent information system is presented, in which the main component is a system of ontologies on the basis of which information, data and knowledge from various sources are combined.

scientific and technological forecasting, semantic analysis, support for scientific research, information system architecture