Entity Resolution and Information Quality - Softcover

Talburt, John R.

Softcover

ISBN 10: 0123819725 ISBN 13: 9780123819727

Publisher: Morgan Kaufmann, 2010

Synopsis

Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ).
The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford Entity Resolution Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical models that support Entity Resolution. In relation to this, the book briefly discusses entity-based data integration (EBDI) and its model, which serve as an extension of the Algebraic Model for Entity Resolution. There is also an explanation of how the three commercial ER systems operate and a description of the non-commercial open-source system known as OYSTER. The book concludes by discussing trends in entity resolution research and practice. Students taking IT courses and IT professionals will find this book invaluable.

• First authoritative reference explaining entity resolution and how to use it effectively
• Provides practical system design advice to help you get a competitive advantage
• Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

About this title

From the Back Cover:

Entity Resolution

Accurately integrate your customer and product information to stay ahead of your competition!

This book is comprehensive, timely, and on the leading edge of the topic. In addition to being comprehensive and systematic, the book has two distinct characteristics: (1) it addresses the issue of entity relationships, which go beyond entity matching. This novel approach generates much richer information about entities; (2) it discusses not only techniques, but also systems that implement the techniques. This system-oriented approach helps the reader to see how to apply the techniques for problem solving.

Dr. Hongwei (Harry) Zhu - Assistant Professor of Information Technology in the College of Business and Public Administration, Old Dominion University

Key Features

• First authoritative reference explaining entity resolution and how to use it effectively
• Provides practical system design advice to help you get a competitive advantage
• Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn’t mean you can use it effectively. If not properly integrated, data can actually encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing.

This emerging area of data management is clearly explained throughout the book. It teaches you the process of locating and linking information about the same entity - eliminating duplications - and making crucial business decisions based on the results. This book is an authoritative, vendor-independent technical reference for researchers, graduate students and practitioners, including architects, technical analysts, and solution developers. In short, Entity Resolution and Information Quality gives you the applied level know-how you need to aggregate data from disparate sources and form accurate customer and product profiles that support effective marketing and sales. It is an invaluable guide for succeeding in today’s info-centric environment.

John R. Talburt, Professor of Information Science, University of Arkansas at Little Rock; Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ); Associate Director of the Acxiom Laboratory for Applied Research (ALAR); Co-Director of the MIT Information Quality Program’s Working Group on Customer-Centric Information Quality Management.

About the Author:

Dr. John R. Talburt is Professor of Information Science at the University of Arkansas at Little Rock (UALR) where he is the Coordinator for the Information Quality Graduate Program and the Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ). He is also the Chief Scientist for Black Oak Partners, LLC, an information quality solutions company. Prior to his appointment at UALR he was the leader for research and development and product innovation at Acxiom Corporation, a global leader in information management and customer data integration. Professor Talburt holds several patents related to customer data integration and the author of numerous articles on information quality and entity resolution, and is the author of Entity Resolution and Information Quality (Morgan Kaufmann, 2011). He also holds the IAIDQ Information Quality Certified Professional (IQCP) credential.

About this edition

• Publisher: Morgan Kaufmann
• Publication date: 2010
• ISBN 10: 0123819725
• ISBN 13: 9780123819727
• Binding: Paperback
• Edition number: 1
• Number of pages: 256