ISR asset visibility and collection management optimization through knowledge models and automated reasoning

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Authors
  1. Boury-Brisset, A-C.
  2. Kolodny, M.A.
  3. Pham, T.
Corporate Authors
Defence Research and Development Canada, Valcartier Research Centre, Quebec QC (CAN);Army Research Lab, Adelphi MD (US)
Abstract
The increasing number and diversity of information sources makes ISR operations more and more challenging; this is especially true in a coalition environment. Optimizing the discovery and utility of coalition ISR assets when facing multiple requests for information, and enhancing the data to decisions process by gathering mission-relevant information to consumers will require automated tools in support of collection planning and assessment. Defence R&D Canada and the US Army Research Laboratory have related research activities in the area of ISR asset interoperability and information collection. In this paper, we present these projects and collaborative efforts to enhance ISR interoperability, through plug-and-play ISR interoperability and semantic knowledge representation of ISR concepts as well as approaches to maximize the utilization of available ISR collection assets.
Keywords
ISR;interoperability;unattended sensors;intelligence collection;ontology
Report Number
DRDC-RDDC-2016-P144 — External Literature
Date of publication
04 May 2017
Number of Pages
19
DSTKIM No
CA044833
CANDIS No
805206
Format(s):
Electronic Document(PDF)

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