TY - GEN
T1 - Composable Analytic Systems for next-generation intelligence analysis
AU - Dibona, Phil
AU - Llinas, James
AU - Barry, Kevin
N1 - Publisher Copyright:
© 2015 SPIE.
PY - 2015
Y1 - 2015
N2 - Lockheed Martin Advanced Technology Laboratories (LM ATL) is collaborating with Professor James Llinas, Ph.D., of the Center for Multisource Information Fusion at the University at Buffalo (State of NY), researching concepts for a mixed-initiative associate system for intelligence analysts to facilitate reduced analysis and decision times while proactively discovering and presenting relevant information based on the analyst"s needs, current tasks and cognitive state. Today"s exploitation and analysis systems have largely been designed for a specific sensor, data type, and operational context, leading to difficulty in directly supporting the analyst"s evolving tasking and work product development preferences across complex Operational Environments. Our interactions with analysts illuminate the need to impact the information fusion, exploitation, and analysis capabilities in a variety of ways, including understanding data options, algorithm composition, hypothesis validation, and work product development. Composable Analytic Systems, an analyst-driven system that increases flexibility and capability to effectively utilize Multi-INT fusion and analytics tailored to the analyst"s mission needs, holds promise to addresses the current and future intelligence analysis needs, as US forces engage threats in contested and denied environments.
AB - Lockheed Martin Advanced Technology Laboratories (LM ATL) is collaborating with Professor James Llinas, Ph.D., of the Center for Multisource Information Fusion at the University at Buffalo (State of NY), researching concepts for a mixed-initiative associate system for intelligence analysts to facilitate reduced analysis and decision times while proactively discovering and presenting relevant information based on the analyst"s needs, current tasks and cognitive state. Today"s exploitation and analysis systems have largely been designed for a specific sensor, data type, and operational context, leading to difficulty in directly supporting the analyst"s evolving tasking and work product development preferences across complex Operational Environments. Our interactions with analysts illuminate the need to impact the information fusion, exploitation, and analysis capabilities in a variety of ways, including understanding data options, algorithm composition, hypothesis validation, and work product development. Composable Analytic Systems, an analyst-driven system that increases flexibility and capability to effectively utilize Multi-INT fusion and analytics tailored to the analyst"s mission needs, holds promise to addresses the current and future intelligence analysis needs, as US forces engage threats in contested and denied environments.
KW - Composable
KW - Intelligence Analysis
KW - Workflow
UR - https://www.scopus.com/pages/publications/84954054998
U2 - 10.1117/12.2184177
DO - 10.1117/12.2184177
M3 - Conference contribution
AN - SCOPUS:84954054998
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Next-Generation Analyst III
A2 - Hanratty, Timothy P.
A2 - Llinas, James
A2 - Broome, Barbara D.
A2 - Hall, David L.
PB - SPIE
T2 - Next-Generation Analyst III
Y2 - 20 April 2015 through 21 April 2015
ER -