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Automated Tools to Assist FDO Duties

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-05-C-0154
Agency Tracking Number: F051-099-0712
Amount: $99,992.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF05-099
Solicitation Number: 2005.1
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-04-13
Award End Date (Contract End Date): 2006-01-13
Small Business Information
4515 Seton Center Parkway, Suite 320
Austin, TX 78759
United States
DUNS: 158034665
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Paula deWitte
 Director, New Business Development
 (512) 342-0010
 pdewitte@21technologies.com
Business Contact
 Darrin Taylor
Title: Vice President
Phone: (512) 342-0010
Email: dtaylorz@21technologies.com
Research Institution
N/A
Abstract

21st Century Technologies presents the Phase I SBIR project, TEGO (from Latin, tego, to conceal, protect, shield). TEGO will analyze text messages between US and foreign coalition personnel to detect disclosure-perhaps unintentional-of sensitive information to generate an alert for a human decision maker (i.e., a Foreign Disclosure Officer or FDO). The process is currently too manual to be of effective timely use. What is needed is an automatic system that alerts human decision makers as necessary, thus providing a force multiplier to the FDOs. TEGO will automate much of the analysis of textual communication and provide the alert as information disclosure becomes an issue, thereby resulting in significantly improved security with reduced manpower. This will enable the FDOs to concentrate on the important decision-making tasks. TEGO will work by analyzing natural language text using a combination of graph matching and semantic approaches. Basically, TEGO will represent the semantic content of text in a graph structure and perform graph matching against patterns representing sensitive information. The graph structure will be built from mapping machine analyzed natural language into a semantic graph representation. An ontology will be used to understand the relationships and meanings of concepts within the domain.

* Information listed above is at the time of submission. *

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