Publication:
Agilely assigning sensing assets to mission tasks in a coalition context

dc.contributor.authorPreece, A.
dc.contributor.authorNorman, T.
dc.contributor.authorde Mel, G.
dc.contributor.authorPizzocaro, D.
dc.contributor.authorŞensoy, Murat
dc.contributor.authorPham, T.
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorŞENSOY, Murat
dc.date.accessioned2014-07-10T06:11:43Z
dc.date.available2014-07-10T06:11:43Z
dc.date.issued2013
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.en_US
dc.description.abstractWhen managing intelligence, surveillance, and reconnaissance (ISR) operations in a coalition context, assigning available sensing assets to mission tasks can be challenging. The authors' approach to ISR asset assignment uses ontologies, allocation algorithms, and a service-oriented architecture.en_US
dc.description.sponsorshipUS Army Research Laboratory ; UK Ministry of Defence
dc.identifier.doi10.1109/MIS.2012.86
dc.identifier.endpage63
dc.identifier.issn1541-1672
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84874593633
dc.identifier.startpage57
dc.identifier.urihttp://hdl.handle.net/10679/473
dc.identifier.urihttps://doi.org/10.1109/MIS.2012.86
dc.identifier.volume28
dc.identifier.wos000314482800011
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Intelligent Systems
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsISRen_US
dc.subject.keywordsCoalitionen_US
dc.subject.keywordsIntelligenceen_US
dc.subject.keywordsOntologyen_US
dc.subject.keywordsReconnaissanceen_US
dc.subject.keywordsSensor assignmenten_US
dc.subject.keywordsSensor sharingen_US
dc.subject.keywordsSurveillanceen_US
dc.titleAgilely assigning sensing assets to mission tasks in a coalition contexten_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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