A framework for data quality aware query systems

  • Authors:
  • Naiem K. Yeganeh;Mohamed A. Sharaf

  • Affiliations:
  • School of Information Technology and Electrical Engineering, The University of Queensland, QLD, Australia;School of Information Technology and Electrical Engineering, The University of Queensland, QLD, Australia

  • Venue:
  • DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
  • Year:
  • 2011

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Abstract

Data Quality (DQ) is increasingly gaining more importance as organizations as well as individuals are relying on data available from various data sources. User satisfaction from query result is directly related to the quality of data returned to user. In this paper we present a framework for DQ aware query systems focused on three key requirements of profiling DQ, capturing user preferences on DQ and processing data quality aware queries.