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A Distributed and Standard based Data Warehouse and Mining System for…

Award Information

Agency:
Department of Defense
Branch:
Office of the Secretary of Defense
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
O2-1203
Solicitation Year:
2010
Solicitation Topic Code:
OSD10-L05
Solicitation Number:
2010.2
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD 20855-2737
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2012
Title: A Distributed and Standard based Data Warehouse and Mining System for Large-Scale Sensor Data
Agency / Branch: DOD / OSD
Contract: N00014-12-C-0425
Award Amount: $743,055.00
 

Abstract:

The sensor data in the area of Navy Multi-INT could be multi-modal, including acoustic images, ocean profiles, infrared data, biometric data, vehicle tracking information, and facial profiles. Textual information, including intelligence reports or chat logs, will also be considered as sensor data. It is important to develop highly scalable and effective data warehousing and mining methods for in-depth exploitation and analysis of such data so that various information consumers can gain intelligence from different perspectives. To address this importance, IAI is developing a distributed and standards based data cubing, mining system, SensorCube, for large amounts of geospatial sensor data. The SensorCube consists of three layers: data integration, data cubing and mining, and semantic search. In the data integration layer, an XML driven ETL (Extraction, Transformation, and Loading) process is developed to integrate complex sensor data. In the data cubing and mining layer, a powerful distributed computational engine is developed to model multi-dimensional sensor data. In the semantic search layer, the search and query capability is developed to connect the meta data and information summarized in data cubes and mining models. Furthermore, the semantic search and cubing visualization can be accessible across different computational platform such as smart phones and tablets.

Principal Investigator:

Kaizhi Tang
Senior Research Scientist
(301) 294-5214
ktang@i-a-i.com

Business Contact:

Mark James
Director, Contract&Prop
(301) 294-5221
mjames@i-a-i.com
Small Business Information at Submission:

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No