Countermeasures for the Innovative Development of China’s Sports Industry Under the Background of Big Data

Author(s):  
Chenliang Deng ◽  
Zhaohua Tang ◽  
Zhangzhi Zhao
Author(s):  
T Latinovic ◽  
D Preradović ◽  
C R Barz ◽  
A Pop Vadean ◽  
M Todić

2021 ◽  
Vol 292 ◽  
pp. 03037
Author(s):  
Sun Jiaji ◽  
Li Yuezhong

Since the reform and opening up, China’s economy has been developing rapidly and the material living standard has been improving continuously. People begin to pay more attention to the mental and physical health. Therefore, more and more people take part in a variety of sports activities to exercise their body and watch large-scale sports events to cultivate the sports spirit. These changes have boosted the development of China’s sports industry, which is reflected in the continuous expansion of the scale of the sports industry, the deepening of the degree of industrial segmentation and the continuous innovation of the development concept. This paper mainly studies the feasibility data analysis of traditional sports industrialization development and informatization development based on big data. In this paper, by using the research methods of literature, observation, field investigation and logical analysis, the industrialization development of traditional sports is deeply studied and systematically combed. From the perspective of informationization, this paper makes an in-depth analysis of the current situation, existing problems, the importance of industrialization, and the advantages of industrialization of traditional sports, and makes a detailed exploration and elaboration of the opportunities brought by informatization to traditional sports industry and the development strategies of the industrialization of traditional sports in the future.


Author(s):  
А.Н. Копайгородский ◽  
Т.Г. Мамедов

В статье рассмотрены методы построения интеллектуальной информационной системы для поддержки экспертных решений по стратегическому инновационному развитию энергетики. Обоснована необходимость применения методов анализа Больших данных (Big Data). Представлена архитектура интегрированного хранилища интеллектуальной информационной системы, основным компонентом которой является система онтологий, объединяющая данные и знания из различных источников. 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.


Author(s):  
А.В. Михеев

В статье рассматриваются возможности применения методов анализа больших данных для принятия решений по инновационному развитию в энергетике. Выполнен библиометрический обзор научных исследований по использованию анализа больших данных для задач в сфере энергетики на основе публикаций международной базы Scopus за 2010-2020 гг. Приведены содержательные задачи мониторинга, прогнозирования и оценки перспективности технологических решений в энергетике на основе семантического анализа больших данных. The article discusses the feasibility and possible applications of big data analysis for making decisions on innovative development in the energy sector. A bibliometric review of scientific research on the use of big data analysis for problems in the energy sector was carried out based on publications of Scopus database for 2010-2020. The substantive tasks of monitoring, forecasting and evaluating the prospects of technological solutions in the energy sector based on semantic analysis of big data are presented.


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