Knowledge Aided Retrieval in Activity Context
Knowledge Aided Retrieval in Activity Context (KARNAC) is a system being developed in the United States for use in profiling different categories of terrorist attacks to determine the components of possible future terrorist incidents.[1][2][3][4]
Information for KARNAC is generally to be derived from structured, semi-structured and unstructured databases. This would include information derived from gun registrations, driver's licenses, residential and criminal records, as well as the Internet, newspapers and county records. For example, the system might raise an alert if someone attempted to buy components for bomb making, hired a car and rented a hotel room near the White House.
References[edit]
- ↑ Kupchinsky, Roman (2008-04-08). "World: Predicting Terrorist Attacks". Radio Free Europe/Radio Liberty. Retrieved 2024-01-28.
- ↑ Graham-Rowe, Duncan (2001-10-02). "Intelligence analysis software could predict attacks". New Scientist. Retrieved 2024-01-28.
- ↑ "Big brother gaining too much support". The Minnesota Daily. 2001-10-15. Retrieved 2024-01-28.
- ↑ "The Surveillance Society". Wired. Vol. 9 no. 12. 2007-03-11. p. 3. Archived from the original on 2007-03-11. Retrieved 2005-05-11. Unknown parameter
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