000 04209nam a22005415i 4500
001 978-3-031-79426-1
003 DE-He213
005 20240730164040.0
007 cr nn 008mamaa
008 220601s2010 sz | s |||| 0|eng d
020 _a9783031794261
_9978-3-031-79426-1
024 7 _a10.1007/978-3-031-79426-1
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aXu Yu, Jeffrey.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981799
245 1 0 _aKeyword Search in Databases
_h[electronic resource] /
_cby Jeffrey Xu Yu, Lijun Chang, Lu Qin.
250 _a1st ed. 2010.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2010.
300 _aXII, 143 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aEngineering.
_99405
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aTechnology and Engineering.
_981800
650 2 4 _aComputer Communication Networks.
_981801
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aChang, Lijun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981802
700 1 _aQin, Lu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981803
710 2 _aSpringerLink (Online service)
_981804
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031794254
776 0 8 _iPrinted edition:
_z9783031794278
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_981805
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79426-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c85253
_d85253