期刊文献+

基于知网大数据检索的环境科学热点研究

Research and Analysis of Hot Scientific Issues Based on China National Knowledge Infrastructure Big Data Retrieval
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摘要 指出了大数据全方位地影响着人类的生产和生活,人类创造数据的同时也在利用数据。以大数据为切入点,阐述了其定义和发展历程,对未来的发展趋向做出了预判,最后提出了对于大数据研究的一些看法和意见。从2012年开始,对于大数据的研究开始呈现上升趋势,之后更是出现飞跃状态,并且年年攀升。目前国内学术界对于大数据检索下科学研究热点的研究相对薄弱,有关期刊论文数量比较有限。利用大数据进行分析,更有助于加强科学性,直观性,用数据说话往往更有力。以“大数据”“富营养”“水生态”“水生植物”等水环境科学研究热点为主题词进行检索,解释了这些主题词的概念,进一步分析了这些研究热点的研究发展历程,时间横跨1826~2019年。并对某些研究热点进行了更深度层次的探析。以供参考。 Big data affects the production and life of human beings to vary degrees in various aspects.Human beings create data and use data at the same time.Taking big data as the starting point,this paper first analyzes its definition and development process,then it predicts the future development trend,and finally some views and opinions on big data research are put forward.From 2012,the research on big data began to show an upward trend,and then showed a leap forward state,increased year by year.At present,the domestic academic circles are relatively weak in the research on the hot spots of scientific research under big data retrieval,and the number of relevant journal papers is relatively limited.The use of big data for analysis is more helpful to strengthen the scientificity and intuition,and it is often more powerful to speak with data.Based on the key words of"big data","eutrophication","aquatic ecology"and"aquatic plants",this paper first explains the concept of these key words,and then it further analyzes the research and development process of these research hotspots,covering the period from 1826 to 2019.Some research hotspots are analyzed at a deeper level.
作者 刘伟 王立志 Liu Wei;Wang Lizhi(School of Linyi Electromechanical Engineering,Linyi,Shandong 276005,China;Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection,College of Resources and Environment,Linyi University,Linyi,Shandong 276000,China)
出处 《绿色科技》 2020年第16期26-29,共4页 Journal of Green Science and Technology
基金 山东省自然科学基金(编号:ZR2018LD004) 国家自然科学基金青年项目(编号:41303061、41601086)。
关键词 大数据 分析 科学热点 环境科学 big data analysis scientific hotspots environmental science
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