Keyword Search in Databases

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 d...

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Những tác giả chính:	Yu, Jeffrey Xu, Qin, Lu, Chang, Lijun
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Morgan & Claypool 2011
Những chủ đề:	Tin học Database
Truy cập trực tuyến:	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25911
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id	oai:scholar.dlu.edu.vn:DLU123456789-25911
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-259112012-03-03T04:45:13Z Keyword Search in Databases Yu, Jeffrey Xu Qin, Lu Chang, Lijun Tin học Database 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. 2011-09-20T08:16:19Z 2011-09-20T08:16:19Z 2010 Book 9781608451951 9781608451968 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25911 en application/pdf Morgan & Claypool
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Tin học Database
spellingShingle	Tin học Database Yu, Jeffrey Xu Qin, Lu Chang, Lijun Keyword Search in Databases
description	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.
format	Book
author	Yu, Jeffrey Xu Qin, Lu Chang, Lijun
author_facet	Yu, Jeffrey Xu Qin, Lu Chang, Lijun
author_sort	Yu, Jeffrey Xu
title	Keyword Search in Databases
title_short	Keyword Search in Databases
title_full	Keyword Search in Databases
title_fullStr	Keyword Search in Databases
title_full_unstemmed	Keyword Search in Databases
title_sort	keyword search in databases
publisher	Morgan & Claypool
publishDate	2011
url	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25911
_version_	1757665234654330880

Keyword Search in Databases

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