Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure

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 bui...

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Main Author: Kopaygorodsky Alex
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/69/e3sconf_energy-212020_03015.pdf
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spelling doaj-25d16b3be82645b0bc9c770198a04af32021-04-02T16:16:23ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012090301510.1051/e3sconf/202020903015e3sconf_energy-212020_03015Natural Language Processing for Forecasting Innovative Development of the Energy InfrastructureKopaygorodsky AlexThe 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 effectivelyhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2020/69/e3sconf_energy-212020_03015.pdfnatural language processingknowledge managementontologyforecasting innovative development
collection DOAJ
language English
format Article
sources DOAJ
author Kopaygorodsky Alex
spellingShingle Kopaygorodsky Alex
Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
E3S Web of Conferences
natural language processing
knowledge management
ontology
forecasting innovative development
author_facet Kopaygorodsky Alex
author_sort Kopaygorodsky Alex
title Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
title_short Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
title_full Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
title_fullStr Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
title_full_unstemmed Natural Language Processing for Forecasting Innovative Development of the Energy Infrastructure
title_sort natural language processing for forecasting innovative development of the energy infrastructure
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description 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
topic natural language processing
knowledge management
ontology
forecasting innovative development
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/69/e3sconf_energy-212020_03015.pdf
work_keys_str_mv AT kopaygorodskyalex naturallanguageprocessingforforecastinginnovativedevelopmentoftheenergyinfrastructure
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