Linking Records in Complex Context
There are different kinds of information present in a data set that can be utilized for record linkage activities: attributes, context, relationships, etc. In this chapter, we focus on techniques that enable record linkage in so-called complex context, wh
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Handbook of Data Quality Research and Practice
Handbook of Data Quality
Shazia Sadiq Editor
Handbook of Data Quality Research and Practice
123
Editor Shazia Sadiq University of Queensland Brisbane Australia
ISBN 978-3-642-36256-9 ISBN 978-3-642-36257-6 (eBook) DOI 10.1007/978-3-642-36257-6 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013935616 ACM Computing Classification (1998): H.2, H.3, E.5, K.6 c Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Advisory Panel
Carlo Batini Universit`a degli Studi di Milano - Bicocca, Milano, Italy Yang Lee North Eastern University, Boston, MA, USA Chen Li University of California Irvine, Irvine, CA, USA Tamer Ozsu University of Waterloo, Waterloo, ON, Canada Felix Naumann Hasso Plattner Institute, Potsdam, Germany Barbara Pernici Politecnico di Milano, Milano, Italy Thomas Redman Navesink Consulting Group, Rumson, NJ, USA Divesh Srivastava AT&T Labs-Research, Florham Park, NJ, USA John Talburt University of Arkansas at Little Rock, Little Rock, AR, USA Xiaofang Zhou The University of Queensland, Brisbane, Australia
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To my late father, Aziz Beg historian, author and diplomat
Preface
The impact of data quality on the information chain h
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