基于ASKE引擎的开源情报采集与分析研究——以2008-2012年国内情报学核心期刊为例

发布时间：2018-04-15 02:05

本文选题：开源情报 + ASKE　；参考：《指挥与控制学报》2015年03期

【摘要】：针对海量开源情报的有效利用问题,提出了一种基于ASKE(Application Specific Knowledge Engine)的开源情报获取与分析框架,并以近5年来国内情报领域19种核心期刊所发表的学术论文为研究对象,从知识获取到情报处理分析,并结合主流分析方法与可视化工具,构建了国内情报学领域关键词、人物与机构知识图谱,对我国近期情报学的研究热点、关键人物与学术机构及其合作网络进行了归纳与分析,得到了诸多重要结论,这些结论能够帮助我们了解当前我国情报领域相关研究热点、关键人物与机构及其相关合作网络,明确我国情报学研究现状.
[Abstract]:In order to solve the problem of efficient utilization of mass open source information, an open source information acquisition and analysis framework based on ASKE(Application Specific Knowledge engineer is proposed, and the research object is 19 core journals published in the field of information in China in the past five years.From knowledge acquisition to information processing and analysis, combined with mainstream analysis methods and visualization tools, this paper constructs a map of key words, people and institutions in the field of information science in China, and focuses on the research of information science in China in the near future.The key figures and academic institutions and their cooperative networks have been summarized and analyzed, and many important conclusions have been drawn. These conclusions can help us understand the relevant research hot spots in the field of intelligence, key persons and institutions and their related cooperation networks.Make clear the present situation of information science research in our country.
【作者单位】：中国科学院自动化研究所复杂系统管理与控制国家重点实验室;国防科技大学军事计算实验与平行系统技术研究中心;
【基金】：国家自然科学基金(71232006,61233001,61533019) 中国科学院规划与决策科技支持系统建设(2F11N06)资助~~
【分类号】：G353.1;G350

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