Scalable, Secure Associative Database

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,975.00
Award Year:
2014
Program:
SBIR
Phase:
Phase I
Contract:
N00014-14-P-1085
Agency Tracking Number:
N132-131-0851
Solicitation Year:
2013
Solicitation Topic Code:
N132-131
Solicitation Number:
2013.2
Small Business Information
Applied Technical Systems Inc.
3505 NW Anderson Hill Rd, Suite 200, Silverdale, WA, 98383-
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
004821021
Principal Investigator:
Kenneth Smith
Chief Scientist, R&D
(703) 546-2929
ken.smith@atsid.com
Business Contact:
Carey Kolb
Vice President, Systems E
(360) 989-3344
carey.kolb@atsid.com
Research Institution:
Stub




Abstract
The Associative Model of Data offers a fundamentally different meta-model for data organization than the well-established relational data model. The associative model focuses on Items and Links among items rather than sets of records. We propose to compare and contrast the associative model with two closely related models, the Resource Description Framework (RDF) triple model and the Property Graph model popularized by modern open-source graph databases. By reviewing existing documentation, technical papers and implementations, we seek to identify a feature set appropriate for scaling out to petabyte scales subject to Multi-Level Security constraints. To effectively compare alternative implementations, we propose to establish a benchmark, consisting of both generative data and a collection of representative queries. The primary outcome of our Phase I effort will be an architectural design for a scalable, secure database embracing the associative/graph model of data. This database will be a critical enabling component of a larger data exploitation and analysis framework which will ultimately include natural language processing, information extraction, and large-scale data analysis capabilities.

* information listed above is at the time of submission.

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