Entity Resolution and Information Quality

John R. Talburt (Autor)

Buch | Softcover

256 Seiten

2011
Morgan Kaufmann Publishers In (Verlag)
978-0-12-381972-7 (ISBN)

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Customers and products are the heart of any business, and corporations collect more data about them every year. This title 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.

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.

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.

Chapter 1 Principles of Entity ResolutionChapter 2 Principles of Information Quality Chapter 3 Entity Resolution Models Chapter 4 Entity-Based Data Integration Chapter 5 Entity Resolution SystemsChapter 6 The OYSTER ProjectChapter 7 Trends in Entity Resolution Research and Applications

Erscheint lt. Verlag	14.1.2011
Verlagsort	San Francisco
Sprache	englisch
Maße	191 x 235 mm
Gewicht	530 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Office Programme ► Outlook
	Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
ISBN-10	0-12-381972-5 / 0123819725
ISBN-13	978-0-12-381972-7 / 9780123819727
Zustand	Neuware