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Entity Resolution and Information Quality

2011 Computers
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Release : 2011
Genre : Computers
Kind : eBook
Book Rating : 727/5 ( reviews)

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Book Synopsis Entity Resolution and Information Quality by : John R. Talburt

Download or read book Entity Resolution and Information Quality written by John R. Talburt. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt: 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. One, it addresses the issue of entity relationships, which go beyond entity matching. This novel approach generates much richer information about entities. Two, 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 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 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 Entity Resolution and Information Quality. 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 infor-centric environment.

Innovative Techniques and Applications of Entity Resolution

2014 Data mining
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Release : 2014
Genre : Data mining
Kind : eBook
Book Rating : 982/5 ( reviews)

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Book Synopsis Innovative Techniques and Applications of Entity Resolution by : Hongzhi Wang

Download or read book Innovative Techniques and Applications of Entity Resolution written by Hongzhi Wang. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: "This book draws upon interdisciplinary research on tools, techniques, and applications of entity resolution and provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications"--

Entity Resolution in the Web of Data

2022-05-31 Mathematics
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Release : 2022-05-31
Genre : Mathematics
Kind : eBook
Book Rating : 680/5 ( reviews)

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Book Synopsis Entity Resolution in the Web of Data by : Vassilis Christophides

Download or read book Entity Resolution in the Web of Data written by Vassilis Christophides. This book was released on 2022-05-31. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.

The Four Generations of Entity Resolution

2021-03-16 Computers
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Release : 2021-03-16
Genre : Computers
Kind : eBook
Book Rating : 579/5 ( reviews)

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Book Synopsis The Four Generations of Entity Resolution by : George Papadakis

Download or read book The Four Generations of Entity Resolution written by George Papadakis. This book was released on 2021-03-16. Available in PDF, EPUB and Kindle. Book excerpt: This book organizes entity resolution (ER) into four generations based on the challenges posed by “the four Vs,” Veracity, Volume, Variety, and Velocity. Entity resolution lies at the core of data integration and cleaning and, thus, a bulk of the research examines ways for improving its effectiveness and time efficiency. For each generation, we outline the corresponding ER workflow, discuss the state-of-the-art methods per workflow step, and present current research directions. The discussion of these methods takes into account a historical perspective, explaining the evolution of the methods over time along with their similarities and differences. The lecture also discusses the available ER tools and benchmark datasets that allow expert as well as novice users to make use of the available solutions. The initial ER methods primarily target Veracity in the context of structured (relational) data that are described by a schema of well-known quality and meaning. To achieve high effectiveness, they leverage schema, expert, and/or external knowledge. Part of these methods are extended to address Volume, processing large datasets through multi-core or massive parallelization approaches, such as the MapReduce paradigm. However, these early schema-based approaches are inapplicable to Web Data, which abound in voluminous, noisy, semi-structured, and highly heterogeneous information. To address the additional challenge of Variety, recent works on ER adopt a novel, loosely schema-aware functionality that emphasizes scalability and robustness to noise. Another line of present research focuses on the additional challenge of Velocity, aiming to process data collections of a continuously increasing volume. The latest works, though, take advantage of the significant breakthroughs in Deep Learning and Crowdsourcing, incorporating external knowledge to enhance the existing words to a significant extent.

Entity Resolution and Information Quality

2011-01-14 Computers
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Release : 2011-01-14
Genre : Computers
Kind : eBook
Book Rating : 733/5 ( reviews)

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Book Synopsis Entity Resolution and Information Quality by : John R. Talburt

Download or read book Entity Resolution and Information Quality written by John R. Talburt. This book was released on 2011-01-14. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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