A Uniform Dependency Language for Improving Data Quality

Wenfei Fan; Floris Geerts

A Uniform Dependency Language for Improving Data Quality

Wenfei Fan, Floris Geerts

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	34-42
Number of pages	9
Journal	IEEE Data Engineering Bulletin
Volume	34
Issue number	3
Publication status	Published - 2011

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Fan Geerts 2011 A Uniform Dependency Language for Improving Data QualitySubmitted manuscript, 159 KB

http://sites.computer.org/debull/A11sept/dependency.pdf

Heterogeneous and Permanent data
Buneman, P. (Principal Investigator), Fan, W. (Co-investigator), Libkin, L. (Co-investigator) & Viglas, S. (Co-investigator)
EPSRC
1/03/08 → 29/02/12
Project: Research

Cite this

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title = "A Uniform Dependency Language for Improving Data Quality",

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 asQIDs, and that different enforcement mechanisms of QIDs yield various data repairing strategies.",

author = "Wenfei Fan and Floris Geerts",

year = "2011",

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AU - Geerts, Floris

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AB - 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 asQIDs, and that different enforcement mechanisms of QIDs yield various data repairing strategies.

M3 - Article

VL - 34

SP - 34

EP - 42

JO - IEEE Data Engineering Bulletin

JF - IEEE Data Engineering Bulletin

IS - 3

ER -

A Uniform Dependency Language for Improving Data Quality

Abstract

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