| Issue |
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
|
|
|---|---|---|
| Article Number | 03015 | |
| Number of page(s) | 4 | |
| Section | Session 2. Advanced Energy Technologies: Clean, Resource-Saving, and Renewable Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202020903015 | |
| Published online | 23 November 2020 | |
Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
1 Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia Federation
2 Irkutsk National Research Technical University, Irkutsk, Russia Federation
* Corresponding author: kopaygorodsky@isem.irk.ru
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 quality of scientific research in this area and make it more effectively
Key words: natural language processing / knowledge management / ontology / forecasting innovative development
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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