ENGLISH

Data Quality Management with Semantic Technologies

Book information

Publisher
Gabler Verlag
Year
2016
ISBN
978-3-658-12224-9, 978-3-658-12225-6
DOI
10.1007/978-3-658-12225-6
Language
english
Format
PDF
Filesize
4 MB (4615541 bytes)
Edition
1
Pages
XXVII, 205\230
Time added
2016-03-14 21:35:01

Description

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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