Context-Based XML Indexing, Search And Retrieval (XIASR)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-04-C-0108
Agency Tracking Number: F031-3282
Amount: $1,594,480.00
Phase: Phase II
Program: SBIR
Awards Year: 2004
Solicitation Year: 2003
Solicitation Topic Code: AF03-094
Solicitation Number: 2003.1
Small Business Information
8640 Guilford Road, Suite 241, COLUMBIA, MD, 21046
DUNS: 046359266
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Monndy Eshera
 (410) 290-9891
Business Contact
 Monndy Eshera
Phone: (410) 290-9891
Research Institution
One of the critical capabilities to enhance the availability and performance of C4I systems for Homeland Defense and other major Air Force initiatives (e.g., JWID, DMFE, TAS, DICE, Broadsword, JBI, SSW and BP) is indexing and retrieval of large multi-source information. Most current indexing and retrieval techniques in these systems are based on limited sets of keywords and simple lookup tables. ARGTEC is pioneering the use of a new, innovative technology for content-based indexing, search and retrieval in large information databases. During Phase I of this program, we proved that our technology is extendable into the domain of XML content-based indexing, search and retrieval. We also developed a proof-of-concept demonstration for content-based indexing and retrieval of free-text XML documents. Our demonstration delivers very impressive results with very high selectivity and reliability in real-time retrieval of free-text messages. Previously, we have been successful in applying this technology to Automated Fingerprint Identification Systems (AFIS). In tests on large fingerprint databases, it delivered > 99% identification accuracy (i.e., < 1% Type I error) and close to zero false alarm rate. ARGTEC proposes to develop and implement a content-based XML Indexing, Search and Retrieval (XISAR) system prototype for multi-source database management. We will expand our ARG technology to real-time processing of more generalized global information containing free-text as well as other data at multiple levels of detail and resolution. We will show that our system is especially effective in handling noisy and partial information. We will insure that our technology will be infused into the JWID's Collaboration Guard (CG) system as the first operational system that will utilize our product.

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

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