Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure

Alex Kopaygorodsky, V.A. Stennikov, N.I. Voropai, S.V. Alekseenko, S.P. Filippov, N.A. Yusifbeyli, B. Sereter, P. Changwei, F.-J. Lin, M. Negnevitsky, C. Rehtanz, J.-Y. Yoon
2020 E3S Web of Conferences  
The article deals with the application of natural language processing methods to support research and forecasting the innovative development of energy infrastructure. The main methods of NLP, which are used to build an intelligent system to support scientific research, are considered. Methods of building infrastructure for processing Open Linked Data and Big Data are described. Semantic analysis and knowledge integration are based on ontology system. Applying suggested methods allow increasing
more » ... uality of scientific research in this area and make it more effectively
doi:10.1051/e3sconf/202020903015 fatcat:zjbncew3szcgfittzrfb7gql2i