区域对齐部队的数据融合

David M. Beskow, C. Rowe, J. Lee, Maxat Nugmanov, R. Vargas
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引用次数: 0

摘要

今天,美国陆军正在越来越多地向新的兴趣领域部署区域对齐旅,同时更加强调交战,最近将其添加到作战功能中。这些区域结盟的部队经常在不稳定和严峻的环境中进行接触,对主要行动者的了解有限。传统的情报收集通常集中在国家层面,针对一个地区的主要国家和非国家行为体;但是在支持这些小规模部署所需的粒度上可能不完整。开源互联网提供了丰富的信息,但通常需要大量的时间来搜索,类似于“大海捞针”。我们的研究将使用网络中心性指标应用于全球知识图谱(GKG),为战术指挥官提供一种工具,以识别在次国家层面上有影响力的个人。这些信息将使战术领导者在他们的作战环境中获得更多的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data fusion for regionally aligned forces
Today the U.S. Army is increasingly deploying regionally aligned brigades to new areas of interest while simultaneously placing greater emphasis on engagement, recently adding it to the Warfighting Functions. These regionally aligned forces often conduct engagement in unstable and austere environments with limited understanding of the primary actors. Traditional intelligence collection is often focused at the national level on the primary state and non-state actors in a region; but may not be complete at the granularity required to support these small-scale deployments. The open-source internet provides a wealth of information, but is often time-intensive to search and analogous to finding a “needle in a haystack” Our research will use Network Centrality metrics applied to the Global Knowledge Graph (GKG) to provide tactical commanders with a tool that identifies influential individuals at the sub-national level. This information will allow tactical leaders to make more informed in their operating environment.
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