TY - JOUR
T1 - High-Level fusion for intelligence applications using Recombinant Cognition Synthesis
AU - Solano, Marco A.
AU - Ekwaro-Osire, Stephen
AU - Tanik, Murat M.
PY - 2012/1
Y1 - 2012/1
N2 - Intelligence applications exploit heterogeneous data using High-Level fusion systems to gain information superiority. Whereas Low-Level fusion systems have well established frameworks, High-Level fusion has not yet achieved the same level of maturity. Most High-Level systems implement specialized algorithms that yield useful results, albeit for a very narrow input space, and are characterized by stove-pipe architectures and a fragmented workflow. Recombinant Cognition Synthesis bridges the implementation gap of existing fusion models by defining a comprehensive framework of semantic, temporal, and geospatial enablers comprising the primitives, functions, and models, which through a recombinant workflow, maximize the data exploitation value-chain. This paper presents a methodology and the underlying architectural components necessary to implement a unified High-Level fusion intelligence application, followed by a case study that demonstrates the resulting improvements in knowledge discovery and predictive accuracy.
AB - Intelligence applications exploit heterogeneous data using High-Level fusion systems to gain information superiority. Whereas Low-Level fusion systems have well established frameworks, High-Level fusion has not yet achieved the same level of maturity. Most High-Level systems implement specialized algorithms that yield useful results, albeit for a very narrow input space, and are characterized by stove-pipe architectures and a fragmented workflow. Recombinant Cognition Synthesis bridges the implementation gap of existing fusion models by defining a comprehensive framework of semantic, temporal, and geospatial enablers comprising the primitives, functions, and models, which through a recombinant workflow, maximize the data exploitation value-chain. This paper presents a methodology and the underlying architectural components necessary to implement a unified High-Level fusion intelligence application, followed by a case study that demonstrates the resulting improvements in knowledge discovery and predictive accuracy.
KW - Data fusion
KW - Knowledge discovery
KW - Predictive analytics
KW - Situation Awareness
KW - Threat Assessment
UR - http://www.scopus.com/inward/record.url?scp=80053977927&partnerID=8YFLogxK
U2 - 10.1016/j.inffus.2010.08.002
DO - 10.1016/j.inffus.2010.08.002
M3 - Article
AN - SCOPUS:80053977927
SN - 1566-2535
VL - 13
SP - 79
EP - 98
JO - Information Fusion
JF - Information Fusion
IS - 1
ER -