Paper
29 April 2010 Common IED exploitation target set ontology
David J. Russomanno, Joseph Qualls, Zenovy Wowczuk, Paul Franken, William Robinson
Author Affiliations +
Abstract
The Common IED Exploitation Target Set (CIEDETS) ontology provides a comprehensive semantic data model for capturing knowledge about sensors, platforms, missions, environments, and other aspects of systems under test. The ontology also includes representative IEDs; modeled as explosives, camouflage, concealment objects, and other background objects, which comprise an overall threat scene. The ontology is represented using the Web Ontology Language and the SPARQL Protocol and RDF Query Language, which ensures portability of the acquired knowledge base across applications. The resulting knowledge base is a component of the CIEDETS application, which is intended to support the end user sensor test and evaluation community. CIEDETS associates a system under test to a subset of cataloged threats based on the probability that the system will detect the threat. The associations between systems under test, threats, and the detection probabilities are established based on a hybrid reasoning strategy, which applies a combination of heuristics and simplified modeling techniques. Besides supporting the CIEDETS application, which is focused on efficient and consistent system testing, the ontology can be leveraged in a myriad of other applications, including serving as a knowledge source for mission planning tools.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David J. Russomanno, Joseph Qualls, Zenovy Wowczuk, Paul Franken, and William Robinson "Common IED exploitation target set ontology", Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 766421 (29 April 2010); https://doi.org/10.1117/12.852722
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Improvised explosive devices

Palladium

Electro optical modeling

Environmental sensing

Data modeling

Infrared sensors

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