Book

Data quality management with semantic technologies

Fèurber, Christian, author

Overview

Christian Fèurber 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. Contents Data Quality and Semantic Technology Basics Data Quality in the Semantic Web Architecture and Evaluation of the Semantic Data Quality Management Framework Target Groups Researchers and students in the fields of economics, information systems and computer science Practitioners in the areas of data management, process management and business intelligence The Author Dr. Christian Fèurber completed his doctoral study under the supervision of Prof. Dr. Martin Hepp at the E-Business and Web Science Research Group of the Universitèat der Bundeswehr Mèunchen. 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.

• Publisher: Springer Gabler
• Subject: Database management. / Databases Quality control. / Semantic Web. / Application program interfaces (Computer software)
• ISBN: 9783658122249, 3658122242

Item info:

1 item available

1 item total in all locations

Holdings :

Call Number	Copies	Material	Location
QA76.9.D3 F87 2015	1	BOOK	BUSINESS