大数据环境下面向科学研究第四范式的信息资源云研究  

Research on Information Resources Cloud for Science Research in Big Data Environment

作　　者：查黄英[1] Zha Huangying(Information and Modern Educational Technology Center,Xi'an University,Xi'an,710065)

机构地区：[1]西安文理学院网络与现代教育技术中心,陕西西安710065

出　　处：《现代科学仪器》2018年第4期5-7,33,共4页Modern Scientific Instruments

摘　　要：针对当前海量的科研研究数据,如何加强对科研数据的共享利用,是当前科研领域思考的重点。伴随着大数据时代的来临,科研范式开始逐步从传统的数据存储朝着以数据为中心的第四范式发展。对此,结合以上的分析,以云计算技术作为基础,利用Hadoop体系,并结合大数据挖掘技术,对信息资源云平台进行搭建,从而实现了数据密集型科研院所海量数据的存储与挖掘,大大提高了科研数据的共享效率。How to strengthen the sharing and utilization of scientific research data is the focus of current scientific research.Along with the development of scientific research paradigm,it began to gradually develop from the traditional data storage to the fourth paradigm centered on data.In this regard,combining the above analysis,using cloud computing technology as the basis,using Hadoop system,and combining large data mining technology,the information resources cloud platform was built,thus realizing the storage and mining of massive data in data-intensive research institutes.The efficiency of scientific data sharing has been greatly improved.

关 键 词：第四范式 数据挖掘 信息资源云 Hadoop体系 

分 类 号：G203[文化科学—传播学]