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浅析大数据时代的图书馆服务 被引量:1

Analysis of Library Services in the Era of Big Data
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摘要 大数据时代的到来,给作为知识收集、存贮和传递的社会信息服务中心图书馆带来了挑战,同时也是图书馆发展的一个机遇。正确认识大数据技术,抓住机遇不断创新服务体系,对图书馆发展来说,具有重要的现实意义。本文就大数据时代图书馆服务的现状、服务提升策略及图书馆服务的发展方向进行简单阐述。 With the advent of the era of the big data, it bring challenge to the library, which is the knowledge collection, storage and transmission of the social information service center, At the same time, it is also an opportunity to the development of the li- brary. Correct understanding of the big data technology, grasp the opportunity and make innovations services structure constantly, has important practical significance for the development of the library. In this paper, it will simply discuss the current situation, the strategy and the developmental direction of the library service.
作者 王运景
机构地区 大连海洋大学
出处 《吉林省教育学院学报》 2017年第6期178-180,共3页 Journal of Jilin Provincial Institute of Education
关键词 大数据 图书馆服务现状 策略 发展方向 the big data current situation of the library service strategy the developmental direction
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  • 1张安珍.论网络环境下的智能信息服务[J].情报理论与实践,2004,27(6):659-662. 被引量:22
  • 2陈丕庞.图书馆智能咨询系统的构建[J].图书馆理论与实践,2006(4):11-13. 被引量:4
  • 3Big Data is a Big Deal.http://www.whitehouse.gov/blog/ 2012/03/29/big-data-big-deal.
  • 4李国杰院士:大数据成为信息科技新关注点[EB/OL].[2012-06-02].http:llwww.cas.cn/xw/zjsd/201206/t20120627_3605350.shtml.
  • 5Big data: The next frontier for innovation, competition, and productivity, http ://www.mckinsey.condlnsights/MGI/ Research/Technology and Innovation/Big_dataThe_next _frontier_for innovation.
  • 6The New York Times. The Age of Big Data [EB/OL]. [ 2012-05 -23 ] .http ://www.nytimes .corn/2012/02/12/snn- day-review/big-datas -impact -in -the -worJd.html?page- wanted=all.
  • 7The Wall Street Journal. Big-Data Success Stories:Splunk [EB/OL]. [ 2012-07-19 ]. http ://blogs.wsj.eom/ven turee apital/2011 / 10/21/big - data- success- stories - splunk/.
  • 8Adwodd2012互动营销世界[EB/OL].[2012-09-10].http://www.adworld.org.cn/index2012.html.
  • 9海量数据爆发大数据时代来临的五个转变[EB/OL].[2012-08-01].http://labs.chinamobile.com/news/76217.
  • 10MapR and Informatica Combine to Conquer Volume, Variety and Velocity of Big Data[EB/OL].[2012-07-21 ]. http ://www.dbta.com/Articles/Editorial/News -Flashes/- MapR -and -Informatica -Join -Forces -to -Tackle -Vol- ume-Variety-and-Velocity-of-Big-Data-8 1231.aspx.

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