Keyword Search in Databases(English, Paperback, Yu Jeffrey Xu)

Keyword Search in Databases(English, Paperback, Yu Jeffrey Xu)

  • Yu Jeffrey Xu
Publisher:Morgan & Claypool PublishersISBN 13: 9781608451951ISBN 10: 160845195X

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart ₹ 3691SnapdealGOSapnaOnlineGOJain Book AgencyGOBooks Wagon₹5,411Book ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹31.5Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Keyword Search in Databases(English, Paperback, Yu Jeffrey Xu) is written by Yu Jeffrey Xu and published by Morgan & Claypool Publishers. It's available with International Standard Book Number or ISBN identification 160845195X (ISBN 10) and 9781608451951 (ISBN 13).

It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content. The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3, we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structured XML database. In Chapter 5, we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics.