Innovative Techniques and Applications of Entity Resolution

Innovative Techniques and Applications of Entity Resolution

Copyright: © 2014 |Pages: 398

ISBN13: 9781466651982|ISBN10: 1466651989|EISBN13: 9781466651999

DOI: 10.4018/978-1-4666-5198-2

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Wang, Hongzhi. Innovative Techniques and Applications of Entity Resolution. IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5198-2

APA

Wang, H. (2014). Innovative Techniques and Applications of Entity Resolution. IGI Global. https://doi.org/10.4018/978-1-4666-5198-2

Chicago

Wang, Hongzhi. Innovative Techniques and Applications of Entity Resolution. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5198-2

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Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation.

Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques, and applications of entity resolution. This research work provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications and is appropriately designed for students, researchers, information professionals, and system developers.

Table of Contents

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Front Materials

Title Page

Copyright Page

Advances in Data Mining and Database Management (ADMDM) Book Series

Foreword

Preface

Acknowledgment

Chapters

Principles of Entity Resolution

Chapter 1

Overview of Entity Resolution (pages 1-14)

Entity resolution is one of many importation operations for data quality management, information retrieval, and data management. It has wide applications in Web search, ecommerce search, data cleaning, and information integration....

Chapter 2

Measures of Entity Resolution Result (pages 15-39)

In this chapter, the authors introduce how to measure Entity Resolution (ER) result. As the authors have already made the entity resolution process, they need to know how much better this result is. This is often done by comparing...

Entity Resolution on Various Types of Data

Chapter 3

Entity Resolution on Names (pages 41-66)

Errors with names occur frequently. “California” and “CA” refer to the same state of the USA; however, they may both appear as records in a database at the same time. Several techniques need to be proposed to solve these problems. In...

Chapter 4

Context-Based Entity Resolution (pages 67-86)

Prior work of entity resolution involves expensive similarity comparison and clustering approaches. Additionally, the quality of entity resolution may be low due to insufficient information. To address these problems, by adopting...

Chapter 5

Entity Resolution on Single Relation (pages 87-122)

A basic work of entity resolution is to detect duplicate records in single relation. To address this problem, many different approaches for different areas are proposed. The basic process of entity resolution is attribute similarity...

Chapter 6

Entity Resolution on Multiple Relations (pages 123-139)

Entity resolution is a central issue in data quality management. It has been proven extremely useful in data fusion, inconsistency and inaccuracy detection, knowledge extraction, and data repairing. Nevertheless, in the real world...

Chapter 7

XML Object Identification (pages 140-170)

For the ability to represent data from a wide variety of sources, XML is rapidly emerging as the new standard for data representation and exchange on Web and e-government. To effectively use XML data in practice, entity resolution...

Chapter 8

Entity Resolution on Graph Data Set (pages 171-194)

In this chapter, the authors study entity resolution on graph data set. In order to conduct entity resolution on graph data, the authors need to define the distance of graph. The authors compute these distances or approximately...

Chapter 9

Entity Resolution on Complex Network (pages 195-221)

Complex networks can be used to describe the Internet, social network, or more broadly describe a binary relation of a set of objects. Structure information of complex network helps the identification of the entity corresponding to...

Chapter 10

Entity Resolution on Cloud (pages 222-235)

Large quantities of records need to be read and analyzed in cloud computing; many records referring to the same entity bring challenges for data processing and analysis. Entity resolution has become one of the hot issues in database...

Database Techniques and Entity Resolution

Chapter 11

Basic Data Operators for Entity Resolution (pages 237-260)

This chapter focuses on the basic data operators for entity resolution, which include similarity search, similarity join, and clustering on sets or strings. These three problems are of increasing complexity, and the solution of...

Chapter 12

Data Cleaning Based on Entity Resolution (pages 261-282)

Data quality is one of the most prevalent problems in data management. A traditional data management application typically concerns the creation, maintenance, and use of a large amount of data, focusing only on clean datasets....

Chapter 13

Query Processing Based on Entity Resolution (pages 283-337)

Dirty data exist in many systems. Efficient and effective management of dirty data is in demand. Since data cleaning may result in useful data lost and new dirty data, this research attempts to manage dirty data without cleaning and...

Applications for Entity Resolution

Chapter 14

Duplicate Record Detection for Data Integration (pages 339-358)

In information integration systems, duplicate records bring problems in data processing and analysis. To represent the similarity between two records from different data sources with different schema, the optimal bipartite graph...

Chapter 15

Entity Resolution in Bibliography Information Management (pages 359-370)

Entity resolution, that is to build corresponding relationships between objects and entities in dirty data, plays an important role in data cleaning. In bibliography information management system, the confusion between authors and...

Chapter 16

Product Entity Resolution in E-Commerce (pages 371-384)

With the rapid development of e-commerce, there is a huge amount of commodity data on the Internet. Users are always spending a lot of time looking for the exact product. Therefore, finding products representing the same entity is an...

Chapter 17

Entity Resolution in Healthcare (pages 385-398)

Abbreviations are common in biomedical documents, and many are ambiguous in the sense that they have several potential expansions. Identifying the correct expansion is necessary for language understanding and important for...

Back Materials

Compilation of References

About the Contributors

Index

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