Semantic Real Time Intelligent Decision Automation

نویسندگان

  • Bill Guinn
  • Jans Aasman
چکیده

The Intelligence Community has systems that deal with overwhelming numbers of events that have to be analyzed in real time. Ideally these systems predict malicious events and aberrant human behavior far enough in advance so that appropriate action can be taken. The challenge is that events come from various real time sources and various databases and do not fit together well. The Intelligence Community (IC) has recognized that semantic technology might be of help in a number of ways. Semantic Technology helps in integrating event streams from various sources and it can describe the people, organizations, relationships, situations and threats in a more declarative way so that it is easier to disambiguate people and groups and it is easier to write rules and analytics to generate predictions. There are a number of attempts in the intelligence community to build Semantic Platforms that can do what we just described. There is also one system that does just this in a commercial setting.

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تاریخ انتشار 2010