DQ2S – A framework for data quality-aware information management

作者：

Highlights：

• Design of a data quality-aware information management framework and system.

• Users measure data quality based on an extensible set of data profiling algorithms.

• Query language, system architecture and heuristic optimization approach developed.

• System design based on seamless extensions to SQL and relational database systems.

• Applied in e-Business scenarios and potential for big data profiling discussed.

摘要

•Design of a data quality-aware information management framework and system.•Users measure data quality based on an extensible set of data profiling algorithms.•Query language, system architecture and heuristic optimization approach developed.•System design based on seamless extensions to SQL and relational database systems.•Applied in e-Business scenarios and potential for big data profiling discussed.

论文关键词：Information management,Data quality,Query language extensions,Data profiling,Decision support systems,Big data

论文评审过程：Available online 6 July 2015, Version of Record 28 July 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.050