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Beschreibung
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.
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.
Über den Autor
Dr. Christian Fürber completed his doctoral study under the supervision of Prof. Dr. Martin Hepp at the E-Business and Web Science Research Group of the Universität der Bundeswehr München. He is founder and CEO of the Information Quality Institute GmbH, a company that consults organizations of any size to improve the quality of their data.
Zusammenfassung

Publication in the field of economic sciences

Includes supplementary material: [...]

Inhaltsverzeichnis

Data Quality and Semantic Technology Basics.- Data Quality in the Semantic Web.- Architecture and Evaluation of the Semantic Data Quality Management Framework.

Details
Erscheinungsjahr: 2016
Fachbereich: Management
Genre: Recht, Sozialwissenschaften, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: xxvii
205 S.
63 s/w Illustr.
205 p. 63 illus.
ISBN-13: 9783658122249
ISBN-10: 3658122242
Sprache: Englisch
Herstellernummer: 978-3-658-12224-9
Einband: Kartoniert / Broschiert
Autor: Fürber, Christian
Auflage: 1st edition 2016
Hersteller: Springer Vieweg
Springer Fachmedien Wiesbaden GmbH
Verantwortliche Person für die EU: Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 210 x 148 x 13 mm
Von/Mit: Christian Fürber
Erscheinungsdatum: 05.01.2016
Gewicht: 0,311 kg
Artikel-ID: 104121568