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2015 , Vol. 59 >Issue 3: 12 - 18,34

DOI: https://doi.org/10.13266/j.issn.0252-3116.2015.03.002

Research on Key Issuesand Challenges of Information Analysis and Its Countermeasures in Big Data Era

  • Guan Sifa ,
  • Chao Lemen
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  • 1. School of Information Resource Management, Renmin University of China, Beijing 100872;
    2. Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), MOE, Beijing 100872

Received date: 2014-11-28

  Revised date: 2014-12-28

  Online published: 2015-02-05

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Abstract

[Purpose/significance] Information analysis is the core process of intelligence studies,big data provides more information resource and technology support for information analysis,and it will make a big revolution for information analysis.[Method/process] The study reviews the current information analysis research in china and abroad.It summarizes five critical difficulties and four challenges of current research on information analysis in the era of big data.[Result/conclusion] This paper makes a systematic discussion for information analysis in the big data era from the macro-perspective,it also comes up with five countermeasures based on the previously summarized five difficulties and four challenges. This paper could be a top design for information analysis of the era of big data.

Key words： information analysis; bigdata; information analysis as a service; big data thinking

Cite this article

Guan Sifa , Chao Lemen . Research on Key Issuesand Challenges of Information Analysis and Its Countermeasures in Big Data Era[J]. Library and Information Service, 2015 , 59(3) : 12 -18,34 . DOI: 10.13266/j.issn.0252-3116.2015.03.002

References

[1] Tom K. Big data is a big deal[EB/OL]. [2014-03-21]. http://www.whitehouse.gov/blog/2012/03/29/big-data-big-deal.
[2] Executive Office of the President. Big data across the federal government[EB/OL]. [2014-03-21].http://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_fact_sheet_final_1.pdf.
[3] 通信世界网. 英国投资7300万英镑发展大数据[EB/OL]. [2014-03-21]. http://cww.net.cn/news/html/2014/2/19/20142191007531064.htm.
[4] 李广建,化柏林.大数据分析与情报分析关系辨析[J].中国图书馆学报,2014(5):14-22.
[5] Chen Hsinchun, Chiang Roger H L, Storey Veda C. Business intelligence and analytics: From big data to big impact[J]. MIS Quarterly,2012,36(4):1165-1188.
[6] Arnold S E.Big data the new information challenge[J].Online,2011,35(2):27-29.
[7] 顾涛.基于大数据的竞争情报协作分析研究[J].情报科学,2013(12):114-118,135.
[8] 吴金红,陈强,张玉峰.基于众包的企业竞争情报工作模式创新研究[J].情报理论与实践,2014(1):90-93,115.
[9] Chang R M, Kauffman R J, Young O K, et al. Understanding the paradigm shift to computational social science in the presence of big data[EB/OL].[2014-10-28]. http://dx.doi.org/10.1016/j.dss.2013.08.008.
[10] Dursun D, Haluk D.Data, information and analytics as services[J]. Decision Support Systems,2013,55(1):359-363.
[11] 李越.基于离群点数据挖掘的情报分析方法探析[J].信息通信,2013(3):132-133.
[12] 蒋苏蓉,蓝江桥,杨玉海.Hadoop框架下的情报分析大数据调度超时预测方法[J].计算机科学,2013(S1):409-413.
[13] Fox B.Using big data for big impact. How predictive modeling can affect patient outcomes[J]. Health Management Technology,2012,33(1):32.
[14] Soylu A, Skjaeveland M G, Giese M, et al. A preliminary approach on ontology-based visual query formulation for big data[C]// Garoufallou E,Greenberg J. Communications in Computer and Information Science. Thessaloniki:Springer-Verlag,2013:201-212.
[15] Kumar A,Lee Hoon Jae, Singh R P, et al. Efficient and secure cloud storage for handling big data[C]// Shen C W, Kuo S Y, DalKwack K, et al.2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM). Taipei:IEEE,2012:162-166.
[16] Chai K E K, Anthony S, Coiera E, et al.Using statistical text classification to identify health information technology incidents[J]. Journal of the American Medical Informatics Association,2013,20(5):980-985.
[17] Boyle J.Biology must develop its own big-data systems[J]. Nature,2013,499(7456):7.
[18] 卢小宾, 郭亚军. 信息分析理论与实践[M]. 北京: 清华大学出版社, 2013:1.
[19] 维克托,肯尼思.大数据时代:生活、工作与思维的大变革[M].盛杨燕,周涛,译.杭州:浙江人民出版社,2013:9.
[20] 张迎红,罗志武.多源数据库集成系统中查询技术的研究[J].辽宁大学学报(自然科学版),1995(3):65-68.
[21] 范爱红,姜爱蓉.基于知识管理的学术信息资源整合体系——对ISI Web of Knowledge的评介[J].现代图书情报技术,2001(6):43-46.
[22] Thomsa H D. Analytics 3.0[J]. Harvard Business Review, 2013(12):65-72.
[23] 数据中心2013:硬件重构与软件定义[EB/OL]. [2014-06-12].http://itpapers.zdnet.com.cn/itpaper/detail/3/24234.shtml.
[24] 智慧城市大数据想要落地需破除三大障碍[EB/OL].[2014-03-21]. http://news.xinhuanet.com/info/2013-08/27/c_132667486.htm.
[25] IBM大数据与分析再升级大步迈进认知计算时代[EB/OL].[2014-03-21]. http://soft.chinabyte.com/393/12878393.shtml.
[26] 全球大数据分析:75%的企业在做数据分析工作[EB/OL].[2014-06-09]. http://news.xinhuanet.com/info/2014-02/17/c_133120556.htm?prolongation=1.
[27] 郎波,张博宇.面向大数据的非结构化数据管理平台关键技术[J].信息技术与标准化, 2013(10):53-56.
[28] 王泽彬,金飞,李夏,等.Web数据挖掘技术及实现[J].哈尔滨工业大学学报, 2005,37(10):1403-1405.
[29] 孟晓峰, 慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展, 2013,50(1):146-169.
[30] Teradata发布业内首款整合大数据分析平台Teradata Aster[EB/OL].[2014-06-09]. http://ec.zdnet.com.cn/managesoft/2012/1129/2133617.shtml.
[31] 和婷.大数据思维对图书馆信息服务工作的启示[J].图书馆建设,2014(1):64-68.
[32] 李佳佳.基于开放数据和云计算的商业信息分析模式构建[J].图书情报工作网刊,2010(6):17-22.
[33] 罗爱静,向英明.信息资源保障体系建设的哲学基础[J].情报探索,2007(8):3-4.
[34] 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.
[35] 黄晓斌,钟辉新.大数据时代企业竞争情报研究的创新与发展[J].图书与情报,2012(6):9-14.
[36] 李建中,刘显敏.大数据的一个重要方面:数据可用性[J].计算机研究与发展, 2013,50(6):1147-1162.
[37] 通信世界网. IDC:未来5年大数据分析类软件复合年增长率达9%[EB/OL]. [2014-06-10]. http://www.cww.net.cn/tech/html/2014/6/9/201469723572421.htm.
[38] 沙勇忠,肖仙桃,赵波.计算机辅助信息分析论略[J].情报杂志, 2005(7):74-77.

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