Extending Database Query Models for Data Retrieval and Analysis - Wu, Ping
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With the ubiquitous adoption of the World Wide Web, an overwhelming amount of high quality, structured data becomes available on the Web. Unlike in the traditional context, Web databases are directly accessible by end users. To help ordinary users overcome the information overload in structured data, current databases need to improve the usability as well as the querying capability. This book explores this direction by discussing how to support novel, user-friendly query types in existing data management systems and investigating techniques for enabling efficient and scalable implementations of these query operators.…mehr

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Produktbeschreibung
With the ubiquitous adoption of the World Wide Web, an overwhelming amount of high quality, structured data becomes available on the Web. Unlike in the traditional context, Web databases are directly accessible by end users. To help ordinary users overcome the information overload in structured data, current databases need to improve the usability as well as the querying capability. This book explores this direction by discussing how to support novel, user-friendly query types in existing data management systems and investigating techniques for enabling efficient and scalable implementations of these query operators.
Autorenporträt
Ping Wu is a Member of Technical Staff at Google Inc. He received his B.S. degree from Fudan University, China in 2003 and Ph.D. degree from University of California in 2008, both in Computer Science. His research interests involve data management issues in emerging applications. Dr. Wu was a IBM Ph.D. fellow and a Chun- Tsung Scholar.