期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2011
卷号：34
期号：03
出版社：IEEE Computer Society
摘要：A variety of dependency formalisms have been studied for improving data quality. To treat these de-
pendencies 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.
