EXPLORATION OF TECHNIQUES FOR SEMI-AUTOMATED INTELLIGENCE SUMMARY GENERATION

Award Information

Agency: Department of Defense

Branch: Defense Advanced Research Projects Agency

Contract: N/A

Agency Tracking Number: 17207

Amount: $47,761.00

Phase: Phase I

Program: SBIR

Solicitation Topic Code: N/A

Solicitation Number: N/A

Timeline

Solicitation Year: N/A

Award Year: 1991

Award Start Date (Proposal Award Date): N/A

Award End Date (Contract End Date): N/A

Small Business Information

Martin Systems, Inc.

12007 Sunrise Valley Dr #220

Reston, VA 22091

United States

DUNS: N/A

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

Principal Investigator

Phone: () -

Business Contact

Phone: () -

Research Institution

N/A

Abstract

THIS PROJECT WILL PROVIDE AN ANALYSIS OF THE TECHNICAL ISSUES RELATED TO AUTOMATED INTELLIGENCE SUMMARY GENERATION. THIS ANALYSIS WILL REFINE AN APPROACH TO: (1) USER INTERACTION WITH THE SEMI-AUTOMATED INTSUM DEVELOPER, (2) USE OF DYNAMIC MESSAGE DATA FROM EXISTING TACTICAL DATA SYSTEMS, (3) MATCHING POTENTIAL TACTICS WITH THE FRIENDLY MISSION AND PERCEIVED SITUATION. THE SIGNIFICANCE OF A METHOD CAPABLE OF SUPPORTING MULTIPLE FORMATS WILL BE DEMONSTRATED IN A LABORATORY USING COMPUTER SIMULATION DURING PHASE II. THE BASIC TECHNIQUE OF USING OBJECT-BASED REPRESENTATION FOR THE ENEMY ACTIVITY INDICATORS, INTERFACING TO DYNAMIC DATA, AND SUMMARIZING REPORTED INFORMATION MAY HAVE COMMERCIAL USES AS WELL AS APPLICATION IN DEFENSE-RELATED INTELLIGENCE SUPPORT SYSTEMS. THE RESULTING APPROACH TO KNOWLEDGE REPRESENTATION, PARSING AND CORRELATING REPORTS PROPOSED CAN PROVIDE A NEEDED CAPABILITY IN BUSINESS TREND PREDICTION AS WELL.

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

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EXPLORATION OF TECHNIQUES FOR SEMI-AUTOMATED INTELLIGENCE SUMMARY GENERATION