Multi-Level Associative Content Environment (MACE)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-14-P-1086
Agency Tracking Number: N132-131-0755
Amount: $79,976.00
Phase: Phase I
Program: SBIR
Awards Year: 2014
Solicitation Year: 2013
Solicitation Topic Code: N132-131
Solicitation Number: 2013.2
Small Business Information
1 Van de Graaff Drive, Suite 107, Burlington, MA, 01803
DUNS: 965530517
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Connie Fournelle
 (617) 583-5730
Business Contact
 Kendra Moore
Title: President
Phone: (617) 583-5730
Research Institution
Successful intelligence analysis requires analysts to wade through massive stores of uncertain data to associate concepts, individuals, locations, and resources. Current data systems are either designed to support massive data search and retrieval, or automated analysis, but lack the flexibility to do both well. What is needed is a system that can balance between these two, to maintain and flexibly navigate association data at multiple levels of detail, while avoiding information loss that can occur when either too much or too little data is persisted, presented, or analyzed. In response, we will develop the Multi-level Associated Content Environment (MACE), an association database management and analysis system implemented as a multi-level graph. In Phase I, we will build a data model and system design, and conduct a proof-of-concept demonstration to show that MACE will scale to petabytes of data in Phase II. MACE will incorporate associations between entities, documents, and concepts at multiple levels of detail, and will persist analytic tool inferences with connections to source data. Using graph databases, we will achieve analytic and run-time performance successes where traditional databases fail. MACE will leverage existing open software in a plug-and-play architecture to provide an open, license-free solution.

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

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