ASKE-based Open Source Intelligence Collection and Analytics: An Example for Key Chinese Intelligence Journals During 2008-2012
LU Hao1 SUN Xing-Kai1 LIU Wen-Li2 ZHAO Xue-Liang1 WANG Fei-Yue1,2
1．The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China
2．Research Center for Military Computational Experiments and Parallel Systems Technology, National University of Defense Technology, Changsha Hunan 410073, China
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.
陆浩,孙星恺,刘文礼,赵学亮,王飞跃,. 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[J]. 指挥与控制学报, 2015, 1(3): 254-262.
LU Hao, SUN Xing-Kai,LIU Wen-Li, ZHAO Xue-Liang, WANG Fei-Yue. ASKE-based Open Source Intelligence Collection and Analytics: An Example for Key Chinese Intelligence Journals During 2008-2012. Journal of Command and Control, 2015, 1(3): 254-262.
2015, Vol. 1 
