SBIR-STTR Award

Automated Identification and Semi-automated Resolution of Conflicting, Suspicious, Inconsistent and Deceptive Information
Award last edited on: 4/4/2014

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$136,686
Award Phase
1
Solicitation Topic Code
AF131-051
Principal Investigator
Geoff Gross

Company Information

Enhance Enterprises LLC

32 Regents Park
East Amherst, NY 14051
   (585) 967-2712
   N/A
   www.way2enhance.com
Location: Single
Congr. District: 27
County: Erie

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2013
Phase I Amount
$136,686
This proposal details a software suite which will be developed for the automated identification and semi-automated resolution of conflicting, suspicious, inconsistent and deceptive information (CSI-Info). The methods employed will adapt previous research work performed by the PI""s while advancing the work to better meet the needs of the challenging CSI-Info identification and resolution domain. The multi-stage software suite will include processing elements to: (1) Recognizing and resolve formatting inconsistencies (specifically data field formats); (2) Perform common referencing and uncertainty alignment (unit conversion and qualitative/quantitative observation transformation and comparison); (3) Perform anomaly detection for statistical and rule-based anomalies; (4) Identify data association transitivity requirement violations (to make sure that if X is similar to Y and Z, then Y and Z should also be similar for consistency sake); (5) Extend stochastic graph matching technique to identify exclusive OR (XOR) violations; (6) Develop human touch points for the resolution of CSI-Info (for the cases where resolution was not automatically attained). These research and implementation tasks will be performed over a period of 9 months with intermediate system testing and evaluation summarized in a deliverable format.

Benefit:
The research study and software prototype will provide an analyst with a range of CSI-Info identification and resolution mechanisms. The application of these methods can improve entity resolution, data association, common referencing, and ultimately fusion and situation understanding activities. These in turn can lead to thwarting insurgencies, uncovering terror cells, preventing IED attacks and result in stable and peaceful nation states. In commercial applications these technologies can help avert financial crime, credit card fraud, and result in fewer loan defaults, for example. The improved decision-making resulting from CSI-Info detection and resolution can save many lives and save millions in financial wealth.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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