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A Uniform Dependency Language for Improving Data Quality

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)34-42
Number of pages9
JournalIEEE Data Engineering Bulletin
Volume34
Issue number3
Publication statusPublished - 2011

Abstract

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.

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