Entity Resolution and Information Quality

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.

Database administrators, data/Information analysts, information and enterprise architects, data warehouse and systems engineers, and software developers working on an identity resolution engine or middleware stack.

Foreword Preface Acknowledgements Chapter 1 Principles of Entity Resolution Entity Resolution Entity Resolution Activities Summary Review Questions Chapter 2 Principles of Information Quality Information Quality IQ and the Quality of Information Two IP Examples IQ Management Information versus Process IQ and HPC The Evolution of Information Quality IQ as an Academic Discipline IQ and ER Summary Review Questions Chapter 3 Entity Resolution Models Overview The Fellegi-Sunter Model SERF Model Algebraic Model ENRES Meta-Model Summary Review Questions Chapter 4 Entity-Based Data Integration Introduction Formal Framework for Describing EBDI Optimizing Selection Operator Accuracy More Complex Selection Rules Summary Review Questions Chapter 5 Entity Resolution Systems Introduction DataFlux dfPowerStudio Infoglide Identity Resolution Engine Acxiom AbiliTec Summary Review Questions Chapter 6 The OYSTER Project Background OYSTER Logic Transitive Equivalence Example Asserted Equivalence Example Febrl: Open-Source Project Summary Review Questions Chapter 7 Trends in Entity Resolution Research and Applications Introduction ER and Information Hubs Association Analysis and Social Networks HPC in ER Integration of ER and IQ Entity-Based Data Integration Fundamental ER Research Summary Review Questions Bibliography Glossary Appendix Index