U.S.-France (INRIA) Cooperative Research:  Languages for    Databases and Knowledge Base
{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}
{'SignBlockName': 'Rose Gombay', 'PO_EMAI': None, 'PO_PHON': None}
This award will support a two year exchange program between US and              French researchers on the topic of languages for databases and                  knowledge bases.  The US group will be under the leadership of Dr.              Peter Buneman, University of Pennsylvania.  The French collaborators            are Drs. Serge Abiteboul and Francois Bancilhon of the French                   National Center for Information Science and Automation (INRIA) and              Dr. Nicole Bidoit of the Laboratoire de Recherche en Informatique,              University of Paris-Orsay.                                                                                                                                      Recently there has been a convergence of research in the areas of               languages used in databases, artificial intelligence and programming            languages.  Examples of this convergence are seen in recent work in             deductive databases, semantic networks, data models, object-oriented            languages and type disciplines.  This proposal will being together              leading US and French researchers in these fields to carry out a series         of workshops on the topics of 1) database programming language 2)               principles of query and transaction languages and 3) types and data             models.  In addition, the investigators will have the opportunity to            spend extended research visits at INRIA.  The proposed project may              result in the acceleration of research in data model issues of                  database and knowledge base languages.  In addition, this cooperative           international effort may minimize the divergence of core modeling               concepts and terminology and thereby remove unnecessary artificial              barriers to the collective research advancement of the field.
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{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}
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[{'Code': '5918', 'Text': 'FRANCE'}, {'Code': '6855', 'Text': 'INFORMATION & KNOWLEDGE MANAGE'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8817874.xml'}