Data Quality Management with Semantic Technologies 1st Edition by Christian Fürber 3658122242 9783658122249

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Product details:

ISBN 10: 3658122242

ISBN 13: 9783658122249

Author: Christian Fürber

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. 

Table of contents:

Chapter 1: Introduction

Chapter 2: Research Design

Chapter 3: Data Quality

Chapter 4: Semantic Technologies

Chapter 5: Data Quality in the Semantic Web

Chapter 6: Specification of Initial Requirements

Chapter 7: Architecture of the Semantic Data Quality Management Framework (SDQM)

Chapter 8: Application Procedure of SDQM

Chapter 9: Evaluation of the Semantic Data Quality Management Framework (SDQM)

Chapter 10: Related Work

Chapter 11: Synopsis and Future Work

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Tags: Christian Fürber, Data, Management, Semantic