
Scalable, Secure Associative DatabaseAward last edited on: 11/21/2018
Sponsored Program
SBIRAwarding Agency
DOD : NavyTotal Award Amount
$79,975Award Phase
1Solicitation Topic Code
N132-131Principal Investigator
Kenneth SmithCompany Information
Applied Technical Systems Inc (AKA: ATS)
3505 NW Anderson Hill Road Suite 200
Silverdale, WA 98383
Silverdale, WA 98383
(360) 698-7100 |
info@atsid.com |
www.atsid.com |
Location: Multiple
Congr. District: 06
County: Kitsap
Congr. District: 06
County: Kitsap
Phase I
Contract Number: N00014-14-P-1085Start Date: 10/28/2013 Completed: 8/28/2014
Phase I year
2014Phase I Amount
$79,975Benefit:
The associative/graph data model facilitates data integration across independent silos by encouraging the adoption of common vocabularies and identifiers for entities and relationships. A scalable and secure implementation of such a model would dramatically improve agencies ability to collaborate and share timely and accurate data. At present, there are no non-proprietary, scalable associative/graph databases suitable for use in missions where multiple security levels may be present. These research and development efforts will result in a design leading to a large-scale prototype capable of addressing these needs. This technology is appropriate for other markets in which not all clients have access to the same levels of information, but yet still need to integrate and navigate diverse data sets. Potential commercialization applications include medical record-keeping, social network analysis, law enforcement, and recommendation systems for intelligence analysts, among others.
Keywords:
Open Source, Open Source, Multi-level Security, scalable, Linked Data, Associative Database, Distributed Architecture, Graph Database
Phase II
Contract Number: ----------Start Date: 00/00/00 Completed: 00/00/00