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.
Format: Paperback / softback
CONTRIBUTORS: Christian Fürber
EAN: 9783658122249
COUNTRY: Germany
PAGES:
WEIGHT: 3102 g
HEIGHT: 210 cm
PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
DATE PUBLISHED: 2016-01-05
CITY:
GENRE: BUSINESS & ECONOMICS / Information Management, COMPUTERS / Business & Productivity Software / Business Intelligence
WIDTH: 148 cm
SPINE:
Book Themes:
Knowledge management, Business mathematics and systems
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.
