Information Technologies for Building a Data and Knowledge Warehouse for Science and Technology Forecasting and Research of Critical Infrastructures

  • Elena P. Khayrullina Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences, Irkutsk, Russia.
Keywords: Big Data, Knowledge storage, science science and technology forecasting, critical infrastructure


The paper is concerned with the application of the Open and Big Data technology in energy forecasting. The focus is made on the issues related to the creation of a data and knowledge warehouse for science and technology forecasting, and research of critical infrastructures.