Source Selection Optimization

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$399,560.00
Award Year:
2008
Program:
SBIR
Phase:
Phase II
Contract:
DE-FG02-07ER84700
Award Id:
84079
Agency Tracking Number:
82160
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
301 North Guadalupe, Suite 201, Santa Fe, NM, 87501
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
112224766
Principal Investigator:
Carl Sylvia
Mr
(505) 820-0301
carl@deepwebtech.com
Business Contact:
Abe Lederman
Mr
(505) 820-0301
abe@deepwebtech.com
Research Institution:
n/a
Abstract
It is difficult for DOE researchers to keep apprised of relevant scientific information given its rapid rate of growth. No mechanism exists to automatically discover, configure access to, or select sources for searching. This project will develop a suite of applications that discover new information sources, build federated search query interfaces to them, and automatically select relevant sources for researchers to search. Phase I proved feasibility of automated discovery of information sources, of human-assisted configuration of these sources for federated search, and of automated source selection using a database of sample queries. Phase II will extend the algorithms and approaches of the Phase I work to develop a prototype federated search application that can search a large number of sources simultaneously. The sources for the prototype will be discovered and configured with the assistance of software prototyped in Phase I and extended in Phase II. Commercial Applications and other Benefits as described by the awardee: There is much commercial interest in source discovery, configuration, and in source selection at search time. Source discovery and configuration, in particular, are very time consuming tasks, thus any automation that can be applied to them will have commercial value.

* information listed above is at the time of submission.

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