ISENS: Information Processing System for Sensor Data

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-05ER84171
Agency Tracking Number: 78957S05-I
Amount: $749,856.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: 48
Solicitation Number: DE-FG02-06ER06-09
Small Business Information
Tech-X Corporation
5621 Arapahoe Avenue, Suite A, Boulder, CO, 80303
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dimitre Dimitrov
 Dr.
 (303) 443-2657
 dad@txcorp.com
Business Contact
 Laurence Cary
Title: Dr.
Phone: (720) 974-1856
Email: lnelson@txcorp.com
Research Institution
N/A
Abstract
The overload of sensor data and related analyses demand the development of a distributed system for managing associated semantic metadata, in order to enable e¿cient decision making. Although significant advancements have been made in emerging semantic technologies, a critical missing piece is the development of an integrated, secure, and distributed system for optimized processing of sensor related metadata. This project will develop a distributed-knowledge management system for het­erogeneous sensor metadata. The system will support ontologies, dynamic and static knowledge bases, querying on a semantic level, and efficient data storage and retrieval to enable fundamentally improved decision making and reasoning capabilities. Phase I evaluated and selected specific semantic Web, database, and networking technologies for use in the ISENS system. A working distributed prototype was developed, which demonstrated the feasibility of building a production quality, information management system for sharing semi­structured sensor data. In Phase II, a fully functioning system, with an extended set of capabilities for testing and evaluation by clients, will be built. Algorithms will be implemented to enable the integration of independent and distributed data centers, support for metadata representation, querying on a semantic level and by key words, secure data transfer, access control, and a portable user-­friendly interface. Commercial Applications and other Benefits as described by the awardee: The semantic knowledge management and information integration system should be di­rectly applicable to the sharing of distributed data sets from processed sensor data and imagery analyses, in order to enable situation assessment and decision making. Potential customers include commercial companies with information integration problems

* information listed above is at the time of submission.

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