Confluence™: Knowledge-Based Decision Support In Complex Missions

被引:0
作者
De, Piali [1 ]
Jennings, Daniel [1 ]
Sperry, David [1 ]
机构
[1] Raytheon Co, Integrated Def Syst, Tewksbury, MA 01876 USA
来源
2009 IEEE CONFERENCE ON TECHNOLOGIES FOR HOMELAND SECURITY | 2009年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 Confluence (TM) which consists Of an ontological framework, domain independent knowledge generation, integration, and reasoning agents, as well as various visualization components. Confluence (TM) 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 Confluence (TM) system and demonstrate its applicability to the mission of maritime and port security.
引用
收藏
页码:553 / 560
页数:8
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