A Uniform Dependency Language for Improving Data Quality

Wenfei Fan, Floris Geerts

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

A variety of dependency formalisms have been studied for improving data quality. To treat these dependencies in a uniform framework, we propose a simple language, Quality Improving Dependencies (QIDs). We show that previous dependencies considered for data quality can be naturally expressed as
QIDs, and that different enforcement mechanisms of QIDs yield various data repairing strategies.
Original languageEnglish
Pages (from-to)34-42
Number of pages9
JournalIEEE Data Engineering Bulletin
Issue number3
Publication statusPublished - 2011


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