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Distributed Relational Learning for Cloud Data Fusion

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-15-C-0109
Agency Tracking Number: N132-135-1262
Amount: $1,414,479.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N132-135
Solicitation Number: 2013.2
Timeline
Solicitation Year: 2014
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-04-09
Award End Date (Contract End Date): 2017-08-09
Small Business Information
1422 Sachem Pl., Unit #1
Charlottesville, VA 22901
United States
DUNS: 809180151
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nicholas Hamblet
 Mathematician
 (434) 284-9415
 nhamblet@ccri.com
Business Contact
 James Conklin
Title: Technical Point of Contact
Phone: (434) 214-4415
Email: conklin@ccri.com
Research Institution
N/A
Abstract

CCRi will enhance the utility of large-scale, geographically separated, semantic datasets by developing distributed capabilities for level 1 (entity resolution) and level 2 (inference) data fusion. CCRi will extend the model training server developed in Phase I, as well as the advanced techniques for concept extraction and visualization of large-scale semantic datasets developed during a parallel effort, to support streaming data, Map/Reduce model training, and integration with enriched data providers, as well as simplified model training. Models which incorporate temporal information will enable advanced predictive capabilities for relationships and concepts over time, which CCRi will investigate during Phase II. CCRi's primary focus in Phase II will be on the fusion of multiple models trained independently on distinct data sources, enabling model sharing without full data sharing, and fusion across clouds.

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

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