An integrated multi-source JDL high-level fusion architecture using recombinant cognition synthesis

Marco A. Solanoa, Stephen Ekwaro-Osire, Murat M. Tanik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

High-Level fusion systems based on the JDL model are relatively immature. Current solutions lack a comprehensive ability to manage multi-source data in a multi-dimensional vector space, and generally do not integrate collection to action models in a cohesive thread. Recombinant Cognition Synthesis (RCS) leverages best-of-breed techniques with a geospatial, temporal and semantic data model to provide a unified methodology that recombines multi-source data with analytic and predictive algorithms to synthesize actionable intelligence. This architecture framework enables the traversal of entity relationships at different level of granularities and the discovery of latent knowledge, thereby facilitating the domain problem analysis and the development of a Course-of-Action to mitigate adversarial threats. RCS also includes process refinement techniques to achieve superior information dominance, by incorporating specialized metadata. This comprehensive and unified methodology delivers enhanced utility to the intelligence analyst, and addresses key issues of relevancy, timeliness, accuracy, and uncertainty by providing metrics via feedback loops within the RCS infrastructure that augment the efficiency and effectiveness of the end-to-end fusion processing chain.

Original languageEnglish
Title of host publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2009
DOIs
StatePublished - 2009
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009 - Orlando, FL, United States
Duration: Apr 16 2009Apr 17 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7345
ISSN (Print)0277-786X

Conference

ConferenceMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009
CountryUnited States
CityOrlando, FL
Period04/16/0904/17/09

Keywords

  • Data mining
  • Decision support
  • High-level JDL fusion
  • Knowledge discovery

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