Continuous preservation of situational awareness through incremental/stochastic graphical methods

Geoff Gross, Rakesh Nagi, Kedar Sambhoos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Intelligence analysis in a counter-insurgency (COIN) environment requires the consideration of many sources of information which are continuously reporting on the current state of the world. Methods to incorporate the uncertainties present in these sources of information have been identified and implemented within a graph matching algorithm, which provides a situation assessment. Thus far, the methods developed have been concerned only with a static view of the world. While these methods are able to obtain situational awareness for a discrete point in time, it is clearly desirable to have continuous, or real time situational awareness. This paper describes the extensions which will enable the continuous preservation of situational awareness through the use of incremental methods and intelligent increment batching. Streaming sensor reports are implemented via a service-oriented architecture.

Original languageEnglish (US)
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
StatePublished - 2011
Externally publishedYes
Event14th International Conference on Information Fusion, Fusion 2011 - Chicago, IL, United States
Duration: Jul 5 2011Jul 8 2011

Publication series

NameFusion 2011 - 14th International Conference on Information Fusion

Other

Other14th International Conference on Information Fusion, Fusion 2011
Country/TerritoryUnited States
CityChicago, IL
Period7/5/117/8/11

Keywords

  • Incremental graph matching
  • Service-oriented architectures
  • Stochastic graphical methods

ASJC Scopus subject areas

  • Information Systems

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