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MetaCORE: Metadata automated Categorization and Optimized Relevance Exploration

Award Information

Agency:
Department of Defense 		Branch:
Air Force 		Award ID:
79144 		Program Year/Program:
2007 / SBIR
Agency Tracking Number:
F061-059-1336 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Aptima, Inc.
12 Gill Street Suite 1400 Woburn, MA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2007
Title: MetaCORE: Metadata automated Categorization and Optimized Relevance Exploration
Agency / Branch: DOD / USAF
Contract: FA8750-07-C-0057
Award Amount: $735,579.00
 

Abstract:

To support net-centric warfare, the Air Force must automate the generation and maintenance of metadata about both new and legacy information products. Metadata will enable Warfighters to retrieve necessary information quickly enough for accelerated ops tempos from among the rapidly increasing number of accessible information products. The metadata must include standard, domain-defined, user-generated, and automatically-generated attributes. We will build the MetaCORE (Metadata automated Categorization and Optimized Relevance Exploration) application as a complete metadata system architecture that can automatically populate a central repository with metadata mined from new and non-standardized legacy information products. A key advantage of MetaCORE is that all metadata will be stored in RDF, a next generation web standard accompanied by a powerful query language that provides greater functionality over other metadata storage formats. The modular MetaCORE system will enable the creation, filtering, retrieval and discovery of metadata using best-of-breed technology. Foremost among the technology that we will initially use to ensure that MetaCORE can achieve the most difficult task of discovering meta-data types and populating textually related metadata such as categories and keywords are Probabilistic Latent Semantic Analysis (PLSA) and Probabilistic Support Vector Machines (PSVM).

Principal Investigator:

Paul Allopenna
Cognitive Psychologist
7819353966
pallopenna@aptima.com

Business Contact:

Margaret J. Clancy
Chief Financial Officer
7814962424
clancy@aptima.com
Small Business Information at Submission:

APTIMA, INC.
12 Gill Street Suite 1400 Woburn, MA 01801

EIN/Tax ID: 043281859
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No