In order to address the above challenge, in this paper, we highlight our research vision and sketch some initial solutions into the problem domain. Specifically, we propose means to (1) automatically infer formal task requirements from mission specifications; (2) discover data, services, and their features automatically to satisfy the identified requirements; (3) create and augment shared domain models automatically; (4) efficiently offload services to the network edge and across coalition boundaries adhering to their computational properties and costs; and (5) optimally allocate and adjust services while respecting the constraints of operating environment and service fit. We envision that the research will result in a framework which enables self-description, discover, and assemble capabilities to both data and services in support of coalition mission goals.
Geeth R. de Mel, Thomas La Porta, Tien Pham, and Gavin Pearson, "Instinctive analytics for coalition operations (Conference Presentation)," Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 1019008 (Presented at SPIE Defense + Security: April 10, 2017; Published: 7 June 2017); https://doi.org/10.1117/12.2266579.5459349148001.
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