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007			cr nn 008mamaa
008			220601s2010 sz | o |||| 0|eng d
020			_a9783031794261
024	7		_a10.1007/978-3-031-79426-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aZA4460 _b2010 EB
100	1		_aYu, Jeffrey Xu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688012
245	1	0	_aKeyword Search in Databases _cby Jeffrey Xu Yu, Lijun Chang, Lu Qin
250			_a1st edition 2010
264		1	_aCham _bSpringer International Publishing _c2010
300			_a1 recurso en línea (XII, 143 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Management _x2153-5426
505	0		_aIntroduction -- Schema-Based Keyword Search on Relational Databases -- Graph-Based Keyword Search -- Keyword Search in XML Databases -- Other Topics for Keyword Search on Databases.
520			_aIt 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. Table of Contents: Introduction / Schema-Based Keyword Search on Relational Databases / Graph-Based Keyword Search / Keyword Search in XML Databases / Other Topics for Keyword Search on Databases.
988			_aSynthesis Collection of Technology_2010
650		7	_2embne _9686599 _aOntologías (Recuperación de la información)
650		7	_2embne _9138966 _aBases de datos _xBúsqueda de información
700	1		_aChang, Lijun _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688013
700	1		_aQin, Lu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688014
776	0	8	_iPrinted edition: _z9783031794254
776	0	8	_iPrinted edition: _z9783031794278
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79426-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eb _zSI