Title :
Recombinant Cognition Synthesis - An introduction
Author :
Solano, Marco Antonio ; Tanik, Murat M.
Author_Institution :
Intell. & Inf. Syst., Raytheon, Dallas, TX
fDate :
June 30 2008-July 3 2008
Abstract :
Recombinant cognition synthesis (RCS) provides an architectural framework and methodology for combining multi-source metadata with predictive and analytic algorithms to synthesize actionable knowledge. RCS bridges an implementation gap in the current Joint Directors of Laboratories (JDL) data fusion model by specifically addressing the integration of fusion levels 2 to 4. The situation awareness (SA) envelope is predicated on a three-dimensional vector space, which comprises spatial, temporal, and semantic attributes of multi-source object metadata. The threat assessment (TA) envelope is defined by the vector space, which comprises means, motive, and opportunity weighted coefficients. Machine learning algorithms, statistical analysis, and predictive data mining techniques are applied to recombined metadata fused across its trans-dimensional attributes. An extension to the ISO 19115 model captures the necessary metadata for this fusion framework, and additionally provides the qualitative and probabilistic attributes to enable process refinement (PR).
Keywords :
data mining; learning (artificial intelligence); statistical analysis; data fusion; data mining; machine learning; multisource metadata; recombinant cognition synthesis; situation awareness; statistical analysis; threat assessment; vector space; Data Mining; Decision Support; Fusion Architecture; Fusion Levels 2, 3, 4.; GIS; JDL Fusion Model; Knowledge Discovery; Machine Learning; Multi-Modal/Source Data; Predictive Analytics; Situation Awareness; Threat Impact Assessment;
Conference_Titel :
Information Fusion, 2008 11th International Conference on
Conference_Location :
Cologne
Print_ISBN :
978-3-8007-3092-6
Electronic_ISBN :
978-3-00-024883-2