Data Quality Management with Semantic Technologies
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
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Christian Fürber
Data Quality Management with Semantic Technologies Foreword by Prof. Dr. Martin Hepp
Christian Fürber München, Germany Dissertation Universität der Bundeswehr München, Neubiberg, 2015
OnlinePlus material to this book can be available on http://www.springer-gabler.de/978-3-658-12224-9 ISBN 978-3-658-12224-9 ISBN 978-3-658-12225-6 (eBook) DOI 10.1007/978-3-658-12225-6 Library of Congress Control Number: 2015959354 Springer Gabler © Springer Fachmedien Wiesbaden 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, speci¿cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on micro¿lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a speci¿c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer Gabler is a brand of Springer Fachmedien Wiesbaden Springer Fachmedien Wiesbaden is part of Springer Science+Business Media (www.springer.com)
Für Tanja
Foreword In contrast to physical machinery, computer-based information systems operate on the basis of models of reality. While traditional forms of automated systems directly handle the actual objects of a task, computers must rely on representations of the input objects of processing, and they return representations of the results when they are done. For the information to be processed, these representations are in the form of digital data, and for the details of the processing, they are computer programs, i.e. executable instructions. By being models, both computer data and computer programs are purpose-bound abstractions of reality, and their appropriateness can only be judged in the light of the information processing task at hand. Now, the overall reliability of an information system critically depends on how well the data represents the relevant subset of reality, and on how well the computer programs represent appropriate processing steps. This is valid for all computer-based information processing, from the most simplistic digital weather station up to the complex transaction support systems in entire value chains. This sounds like a triviality, but even if it was, it is an important one, because it helps understand the origin of many practical proble
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