• 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