引入云计算实现情报分析过程的前景展望
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摘要
云计算是全球IT革命标志性创新技术,引领着未来信息科技的发展方向。引入云计算来实现情报分析过程,必然能极大提高情报分析的效率和精确性。文章以信息时代背景为视角,从情报资料、情报分析和情报决策三方面分析了引入云计算的必要性,运用归纳比较法,梳理出利用云计算分析情报具有速度更高效、层次更深入、结果更科学的优势,并结合理论与实践,从构建理论体系、建立情报资料仓储系统、探索工作模式、培养运用技能等方面,探讨引入云计算实现情报分析过程需要完善的工作。
Cloud computing is the iconic innovation technology of global IT revolution which will lead the future direction of information technology development. The cloud computing may greatly improve the efficiency and accuracy of intelligence analysis to achieve the intelligence analysis process. This paper analyzed the necessity of introducing cloud computing from three aspects: intelligence data, intelligence analysis and intelligence decision making based on the background of the information age. By using the inductive comparison method, it is concluded that using cloud computing to analyze intelligence is more efficient, deeper and more scientific. This paper discusses the need to improve the information analysis process by introducing cloud computing from the aspects of constructing the theoretical system, establishing the information storage system, exploring the work mode and cultivating the application skills by combining theory and practice.
Cloud computing is the iconic innovation technology of global IT revolution which will lead the future direction of information technology development. The cloud computing may greatly improve the efficiency and accuracy of intelligence analysis to achieve the intelligence analysis process. This paper analyzed the necessity of introducing cloud computing from three aspects: intelligence data, intelligence analysis and intelligence decision making based on the background of the information age. By using the inductive comparison method, it is concluded that using cloud computing to analyze intelligence is more efficient, deeper and more scientific. This paper discusses the need to improve the information analysis process by introducing cloud computing from the aspects of constructing the theoretical system, establishing the information storage system, exploring the work mode and cultivating the application skills by combining theory and practice.
引文
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[3]杨青峰.云计算时代关键技术预测与战略选择[J].中国科学院院刊,2015,30(2):148-161.
[4]习近平.决胜全面建成小康社会夺取新时代中国特色社会主义伟大胜利[N].人民日报,2017,10(19):1.
[5]李广建,江信昱.情报分析计算化:背景、作用及关键问题[J].图书情报工作,2017,61(16):24-30.
[6]Kuhn T S.The structure of Scientific Revolutions[M].Chicago:University of Chicago Press,1962:22-40.
[7]Hey T.The Fourth Paradigm:Data-inten-sive Scientific Discovery[M].Redmond:Microsoft Research,2009:7-15.
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[9]李睿.大脑容量与论文篇幅[J].体育与科学,2014(6):28-32.
[10]张帆,张聪,陈伟,等.基于无干扰的云计算环境行为可信性分析[J].计算机学报,2017(9):1-32.
[11]左东石.云计算环境下异常信息优化检测仿真[J].计算机仿真,2017(9):439-442.
[12]米毓.圆周率π小数点后110位谐音新编[J].科学咨询(教育科研),2010(10):82.
[13]王伟健.“神威”如何显神威[N].人民日报,2017,6(21):12.
[14]刘桂良,席猛.决策策略、经验对审计判断偏误中时近效应的影响[J].审计与经济研究,2017,32(6):22-30.
[15]Sheffi Y.Supply Chain Management Under the Threat of International Terrorism[C].The International Journal of Logistics Management.Volume 12,Number.2001:10-16.
[16]董尹,刘千里.情报主导的供应链风险管理研究[J].情报理论与实践,2016,39(4):36-40.
[17]余江,万劲波,张越.推动中国云计算技术与产业创新发展的战略思考[J].中国科学院院刊,2015(2).
[18]孙新建.中国特色社会主义政治经济学理论体系构建——以人民为中心的社会生产关系视角[J].改革与战略,2017(3):1-6.
[19]李纲,李阳.智慧城市应急决策情报体系构建研究[J].中国图书馆学报,2016,42(3):39-54.
[20]张涵.云计算人工智能颠覆视频制作科技巨头混战娱乐媒体业[E B/O L].[2017-10-25].http://www.21jingji.com/2017/10-2 5/y NMDEzODFfMTQxOTAyNw.html.
[21]张家年,王文韬.融入工程化思维:大数据环境下情报分析机制的构建[J].情报理论与实践,2016,39(6):1-6.
[22]谢晓专.情报分析师职业胜任力通用标准比较研究[J].情报杂志,2017,36(2):25-31.
[23]杨瑞仙,魏子瑶,权明喆.大数据环境下的智库情报分析研究[J].情报理论与实践,2017,40(8):30-36.