大数据背景下图书馆知识服务的思考被引量：26

Thought of Library Knowledge Services Based on Big Data Background

导出

摘要当前图书馆资源已具有大数据特征。大数据能够助力图书馆知识服务,也折射出现有知识服务的缺陷。图书馆需要充分研究知识服务现状,运用新的技术进行大数据分析处理,克服传统知识服务缺陷,有效提取大数据价值,为图书馆知识服务的再拓展提供帮助。 The current library resources have been characterized by big data. Big data can help the service of library knowledge, and it also reflects the flaws of current knowledge services. Libraries need to study the status of knowledge services fully, utilize the new technology to process big data, overcome the flaws of traditional knowledge service, extract the big data＇s value effectively, and help library to carry on the knowledge services.

作者王新筠王海欣

机构地区南开大学图书馆

出处《图书馆工作与研究》 CSSCI 北大核心 2014年第11期75-78,共4页 Library Work and Study

基金南开大学人文社会科学校内青年项目"新一代信息环境下图书馆自动化服务模式研究"(项目编号:NKQ112409)的研究成果之一

关键词大数据图书馆知识服务 Big data Library Knowledge services

分类号 G250.71 [文化科学—图书馆学]

引文网络
相关文献

参考文献8

1张新峰.大数据,未来十年IT业的金矿[J].中信计算机,2012(8):1-20.
2Hamish Barwick.ⅢS:The ‘four Vs’of Big Data[EB/OL].[2011-11-11].http://www.computerworld.com.au/article/396198/iiis_four_vs_big_data/.
3知识服务[EB/OL].[2009-12-05].http://lib.sytu.edu.cn/zxxxsz/files/yxjsgypx-kj/2008-8-21-wxl.ppt#265.10.
4李广建,杨林.大数据视角下的情报研究与情报研究技术[J].图书与情报,2012(6):1-8. 被引量：157
5Oracle Big Data Appliance[EB/OL].[2014-02-01].http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html.
610个出色的NoSQL数据库[EB/OL].[2012-10-12].http://www.csdn.net/article/2012-10-12/2810660-NoSQL-MongoDB-HBase.
7协同过滤[EB/OL].http://zh.wikipedia.org/zh-cn/%E5%8D%94%E5%90%8C%E9%8l%8E%E6%BF%BE,2013-3-13.
8肖强,朱庆华,郑华,吴克文.Hadoop环境下的分布式协同过滤算法设计与实现[J].现代图书情报技术,2013(1):83-89. 被引量：19

二级参考文献53

1冯璐,冷伏海.共词分析方法理论进展[J].中国图书馆学报,2006,32(2):88-92. 被引量：581
2Big Data, Big Impact [ EB/OL ]. [ 2012-09-06 ].http ://www 3.weforum.org/docs/WEF TC MFS_BigDataBigImpact_Br iefing_2012.pdf.
3eScience A Transformed Scientific Method [EB/OL]. [ 2012 -09 -06 ].http ://research.microsoft.com/en -us/urn/ people/gray/talks/NRC-CSTB_eScience.ppt.
4Advanced Personalized Education [EB/OL]. [2012-09- 06 ].http ://www.cra.org/ccc/docs/web_learning_spring.pdf.
5What is big data? [EB/OL]. [2012-09-06].http :Hwww- 01.ibm.com/software/data/bigdata/.
6Big data in little New Zealand [EB/OL]. [2012-09-06]. http ://www.techday.co.nz/itbrief/news/big-data-in-little- new-zealand/24518/.
7Intelligence Analysis Today and Tomorrow [J].Security Challenges, 2009,5 (1) : 67-83.
8Big Data for Development: Opportunities & Challenges [ EB/OL ]. [ 2012-09-06 ].http ://www.unglobalpulse.org/si tes/default/files/BigDataforDevelopment -UNGlobalPulse- June2012.pdf.
9Thomas Fingar.A Guide to All-Source Analysis[EB/OL]. [ 2012-09-07 ] .http ://www.afio.com/publications/Fingar_ All_Source_Analysis_in_AFIO_INTEL_WinterSprg2012. pdf.
10Alan L. Porter, Scott W. Cunninghan. Tech Mining Ex- ploiting New Technologies for Competitive Advantage [ M ]. John Wiley & Sons, 2005.