In War on Terrorism, New Search Engine Seeks Hidden Vulnerabilities:
BUFFALO, N.Y. — As part of an effort to anticipate — and thwart — the plans of potential terrorists, the Federal Aviation Administration is supporting the development of a new search engine by University at Buffalo researchers that is designed to detect "hidden" information that can be gleaned from public Web sites.
[...]
Existing search engines process individual documents based on the number of times a key word appears in a single document, she explained.
In contrast, UIR is based on the construction of concept chain graphs that search for the best path connecting two concepts within a multitude of documents.
"A concept chain graph will show you what's common between two seemingly unconnected things," Srihari said.
While all serious notes aside (i.e. AI driven ontology's; semantic web), I found it amusing to think what kind of ridiculous connections they might try to define as "terrorism." For example, each summer homicide rates increase in New York City. At the same time, ice cream sales also increase. Therefore the FAA should crack down on the potentially apocalyptical relationships manifested between dairy farmers, sugar refineries and the neighborhood ice cream man.
See also Orwell and the English Language.
Via Slashdot.
