DocumentCode :
710730
Title :
Data fusion for regionally aligned forces
Author :
Beskow, David ; Rowe, Caitlin ; Lee, Jed ; Nugmanov, Maxat ; Vargas, Ruben
Author_Institution :
Syst. Eng., United States Mil. Acad., West Point, MS, USA
fYear :
2015
fDate :
13-16 April 2015
Firstpage :
620
Lastpage :
626
Abstract :
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.
Keywords :
graph theory; knowledge based systems; military computing; sensor fusion; GKG; U.S. Army; data fusion; global knowledge graph; intelligence collection; needle in a haystack; network centrality metrics; regionally aligned forces; tactical commanders; warfighting functions; Algorithm design and analysis; Computers; Encyclopedias; Internet; Open source software; Organizations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference (SysCon), 2015 9th Annual IEEE International
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/SYSCON.2015.7116820
Filename :
7116820
Link To Document :
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