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Data Quality Management with Semantic Technologies
Paperback
Business GeneralApplicationsGeneral Computers
ISBN13: 9783658122249
Publisher: Springer Gabler
Published: Jan 5 2016
Pages: 205
Weight: 0.69
Height: 0.54 Width: 5.83 Depth: 8.27
Language: English
Christian Fürber investigates the useful application of semantic technologies for the area of data quality management. Based on a literature analysis of typical data quality problems and typical activities of data quality management processes, he develops the Semantic Data Quality Management framework as the major contribution of this thesis. The SDQM framework consists of three components that are evaluated in two different use cases. Moreover, this thesis compares the framework to conventional data quality software. Besides the framework, this thesis delivers important theoretical findings, namely a comprehensive typology of data quality problems, ten generic data requirement types, a requirement-centric data quality management process, and an analysis of related work.
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