DocumentCode
2588436
Title
Confluence™: Knowledge-based decision support in complex missions
Author
De, Piali ; Jennings, Daniel ; Sperry, David
Author_Institution
Integrated Defense Syst., Raytheon Co., Tewksbury, MA, USA
fYear
2009
fDate
11-12 May 2009
Firstpage
561
Lastpage
568
Abstract
Today´s safety and security missions are exceedingly complex, and are becoming more so every day. The operational complexity arises from the growing enormity of available information as well as the participation of multiple interdependent agencies and organizations. Increasingly, decision-makers need an integrated, intelligent system that can seamlessly acquire, fuse, reason about, distribute, and protect information to provide enhanced, individualized decision support and situational understanding as well as foster effective collaboration. To meet this need, Raytheon is developing an intelligent system called Confluencetrade, which consists of an ontological framework, domain independent knowledge generation, integration, and reasoning agents, as well as various visualization components. Confluencetrade can be applied to any mission by creating a mission ontology that extends the common framework, and which explicitly defines a semantic model of the physical, information, cognitive, and social domains for the mission. This paper will describe the Confluencetrade system and demonstrate its applicability to the mission of maritime and port security.
Keywords
decision making; knowledge based systems; ontologies (artificial intelligence); public administration; security; Confluence system; complex missions; domain independent generation; individualized decision support; intelligent system; knowledge-based decision support; maritime security; mission ontology; multiple interdependent agencies; ontological framework; operational complexity; port security; reasoning agents; safety missions; security missions; situational understanding; Artificial intelligence; Collaboration; Information security; Intelligent agent; Intelligent systems; OWL; Ontologies; Resource description framework; Safety; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Homeland Security, 2009. HST '09. IEEE Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-4178-5
Type
conf
DOI
10.1109/THS.2009.5168087
Filename
5168087
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