Grant: Collaborative Research and Development Grants
York University
$59,000.00
Data Quality in Information Integration
EF 2010-11
Résumé
Electronic data is fundamental in all relationship between governments, businesses, and citizens. Ensuring quality of such data is a significant practical as well as research problem. This problem is particularly difficult in the context of information integration where the users do not necessarily own the data sources they access. In this project we will address several problems related to data quality. First, we will investigate methods to measure trust in information sources. Second, we will design algorithms for processing queries where the quality of the answer rather than its cost is the primary goal. Third, we will design formal methods to specify quality constraints one may want to impose on the data. Fourth, we will investigate the role a context plays in cleaning the data.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
371084-2008
Name nom
Gryz, Jaroslaw
Department département
Computer Science and Engineering
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2008
Award amount
59000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2711
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Database management
Research subject fr
Gestion de bases de données
Partie
3
Nb partie
3
Application title
Data Quality in Information Integration
Keyword
NSERC
Application summary
Electronic data is fundamental in all relationship between governments, businesses, and citizens. Ensuring quality of such data is a significant practical as well as research problem. This problem is particularly difficult in the context of information integration where the users do not necessarily own the data sources they access. In this project we will address several problems related to data quality. First, we will investigate methods to measure trust in information sources. Second, we will design algorithms for processing queries where the quality of the answer rather than its cost is the primary goal. Third, we will design formal methods to specify quality constraints one may want to impose on the data. Fourth, we will investigate the role a context plays in cleaning the data.
