MARC Record from marc_columbia

LEADER: 04046cam a2200337Ia 4500
001 7891306
005 20221201042852.0
008 100727t20102010caua b 001 0 eng d
020 $a1598297414
020 $a9781598297416
035 $a(OCoLC)ocn228425550
035 $a(OCoLC)228425550
035 $a(NNC)7891306
035 $a7891306
040 $aYDXCP$cYDXCP$dBTCTA$dBAKER$dTXA$dBWX$dOrLoB-B
082 04 $a004
090 $aZA4460$b.G46 2010
100 1 $aGenesereth, Michael R.,$d1948-$0http://id.loc.gov/authorities/names/n86019747
245 10 $aData integration :$bthe relational logic approach /$cMichael Genesereth.
260 $a[San Rafael, Calif.] :$bMorgan & Claypool Publishers,$c[2010], ©2010.
300 $axi, 97 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aSynthesis lectures on artificial intelligence and machine learning,$x1939-4608 ;$v#8
504 $aIncludes bibliographical references (p. 91-93) and index.
505 00 $g1.$tIntroduction -- $g1.1.$tData Integration -- $g1.2.$tHeterogeneity -- $g1.3.$tDirect Mapping -- $g1.4.$tSource-Based Integration -- $g1.5.$tModel-Centric Integration -- $g1.6.$tReading Guide -- $g2.$tBasic Concepts -- $g2.1.$tRelational Databases -- $g2.2.$tSentential Databases -- $g2.3.$tDatalog Programs -- $g2.4.$tOpen Datalog Programs -- $g2.5.$tDatabase Queries -- $g2.6.$tDatabase Constraints -- $g2.7.$tPartial Datalog Programs -- $g2.8.$tFunctional Datalog Programs -- $g2.9.$tDisjunctive Datalog Programs -- $g2.10.$tEnhanced Datalog Program -- $g3.$tQuery Folding -- $g3.1.$tIntroduction -- $g3.2.$tProblem Definition -- $g3.3.$tInverse Method -- $g3.4.$tConjunctive Source Definitions -- $g3.5.$tDisjunctive Source Definitions -- $g3.6.$tComparison to Other Methods -- $g3.7.$tDecidability -- $g4.$tQuery Planning -- $g4.1.$tIntroduction -- $g4.2.$tOptimization -- $g4.3.$tSourcing -- $g4.4.$tExecution Planning -- $g5.$tMaster Schema Management -- $g5.1.$tIntroduction -- $g5.2.$tReification -- $g5.3.$tAuxiliary Tables -- $g5.4.$tConstraint Folding -- $tAppendix -- $gA.1.$tIntroduction -- $gA.2.$tSentential Representation -- $gA.3.$tLinked Lists -- $gA.4.$tUnification -- $gA.5.$tStorage -- $gA.6.$tLocal Evaluation -- $gA.7.$tQuery Folding -- $gA.8.$tSourcing.
520 1 $a"Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes." "The goal of data integration is to provide programmatic and human users with integrated access to multiple, heterogeneous data sources, giving each user the illusion of a single, homoge-neous database designed for his or her specific need. The good news is that, in many cases, the data integration process can be automated." "This book is an introduction to the problem of data integration and a rigorous account of one of the leading approaches to solving this problem, viz., the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way. In many respects, relational logic does for data integration what relational algebra did for database theory several decades ago. A companion web site provides interactive demonstrations of the algorithms."--BOOK JACKET.
650 0 $aDatabase searching.$0http://id.loc.gov/authorities/subjects/sh86007858
650 0 $aOntologies (Information retrieval)$0http://id.loc.gov/authorities/subjects/sh2005006014
830 0 $aSynthesis lectures on artificial intelligence and machine learning ;$v#8.$0http://id.loc.gov/authorities/names/no2008023636
852 00 $bglx$hZA4460$i.G46 2010g