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
ASKE-based Open Source Intelligence Collection and Analytics: An Example for Key Chinese Intelligence Journals During 2008-2012
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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 Specifc 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 the age of big data, Open Source intelligence (OSint) is hard to grasp. This paper proposes an ASKE engine based framework to acquire and analyzes open source intelligence. To validate the utility of this framework, the latest five years papers which were published in 19 domestic core journals as a data set to make a test is used. Not surprisingly, the result comes out to be as expected: this approach can quickly and comprehensively obtain useful intelligence which includes hot research areas, key researchers, key research institutes, social network of researchers, knowledge map and so on.
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