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面向应急决策的智慧城市情报工程实践与应用
引用本文:李阳,李纲.面向应急决策的智慧城市情报工程实践与应用[J].图书情报工作,2016,60(11):81-85.
作者姓名:李阳  李纲
作者单位:武汉大学信息资源研究中心 武汉 430072
基金项目:本文系国家社会科学基金重大项目“智慧城市应急决策情报体系建设研究”(项目编号:13&ZD173)和武汉大学博士研究生自主科研项目(重点)“面向重大事件的智库情报机能研究”(项目编号:2015104010201,受“中央高校基本科研业务费专项资金”资助)研究成果之一。
摘    要:[目的/意义]将情报工程思维运用至城市突发事件应急领域,旨在强化智慧城市应急决策中的情报支持作用,推进智慧应急的科学化与民主化。[方法/过程]分析当前智慧城市应急情报需求特性,在此基础上引入情报工程理念,从事实数据、工具方法与专家智慧3个层面和学科、社会与政府3个视角论述面向应急决策的智慧城市情报工程实践与应用等。[结果/结论]在大数据时代,以智慧应急为“主位”,以情报工程为“述位”,构建以大数据资源为基,以情报融合为核,以专家智慧为支的智慧应急情报工程体系架构尤为必要。

关 键 词:情报  情报工程  智慧应急  突发事件  应急决策  智慧城市  大数据  
收稿时间:2016-04-01

Practice and Application of Intelligence Engineering Oriented to the Emergency Decision-making under the Background of Smart City
Li Yang,Li Gang.Practice and Application of Intelligence Engineering Oriented to the Emergency Decision-making under the Background of Smart City[J].Library and Information Service,2016,60(11):81-85.
Authors:Li Yang  Li Gang
Institution:Center for the Studies of Information Resources of Wuhan University, Wuhan 430072
Abstract:Purpose/significance] China is in an era of transition, and the emergency decision-making risk has increasing. In order to promote the smart emergency more scientific and democratic, the paper applies the intelligence engineering thinking into the urban emergency field, aiming at strengthening the intelligence support role in smart city emergency decision-making. Method/process] The paper first analyzes the current intelligence demand characteristics of smart city emergency, on the basis of the introduction of intelligence engineering idea, then the paper discusses the practice and application of smart city intelligence engineering oriented to emergency decision-making from three levels of factual data, specified tool and specialist wisdom methods, three perspectives of discipline, society and government, etc.Result/conclusion] In the era of big data, taking the smart emergency as the "theme" and the intelligence engineering as the "rheme". It is necessary to build the structure of smart emergency intelligence system with the big data resources as the foundation, intelligence fusion as the core, and expert wisdom as the support.
Keywords:intelligence  intelligence engineering  smart emergency  emergency  emergency decision-making  smart city  big data  
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