NSF Org:	IIS Division of Information & Intelligent Systems
Recipient:	THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
Initial Amendment Date:	September 26, 2001
Latest Amendment Date:	July 28, 2003
Award Number:	0091533
Award Instrument:	Continuing Grant
Program Manager:	Lawrence Brandt IIS  Division of Information & Intelligent Systems CSE  Directorate for Computer and Information Science and Engineering
Start Date:	October 1, 2001
End Date:	September 30, 2004 (Estimated)
Total Intended Award Amount:	$600,000.00
Total Awarded Amount to Date:	$600,000.00
Funds Obligated to Date:	FY 2001 = $179,220.00 FY 2002 = $220,780.00 FY 2003 = $200,000.00
History of Investigator:	Judith Klavans (Principal Investigator) jklavans@umd.edu Eduard Hovy (Co-Principal Investigator)
Recipient Sponsored Research Office:	Columbia University 615 W 131ST ST NEW YORK NY  US  10027-7922 (212)854-6851
Sponsor Congressional District:	13
Primary Place of Performance:	Columbia University 615 W 131ST ST NEW YORK NY  US  10027-7922
Primary Place of Performance Congressional District:	13
Unique Entity Identifier (UEI):	F4N1QNPB95M4
Parent UEI:
NSF Program(s):	DIGITAL GOVERNMENT
Primary Program Source:	app-0101  app-0102  app-0103
Program Reference Code(s):	1387, 9218, HPCC
Program Element Code(s):	170600
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT



EIA-0091533
Judith Klavans
Columbia University

Digital Government Research Center (DGRC): Bringing Complex Data to Users

In partnership with the Federal Energy Information Agency on the topic of trade data, Columbia University and the Information Sciences Institute of the University of Southern California will work in three areas of relevance to the Agency mission:

1. Main memory query processing, which provides extremely fast querying of multiple statistical data sets, an area of concern to all statistical agencies which must provide aggregated data which maintains the confidentiality of the citizens and businesses which contributed the data;
2. Multilingual question and answering, which will explore the possibility of providing automated translation and querying from English to Spanish and Chinese, and perhaps one other language. As the US population becomes increasingly multi-lingual, natural language processing as a service of gov't web sites will become more and more expected.
3. Usability testing of components developed in this and in another grant to this team under the Digital Government program.

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