000			03533nam a22004095i 4500
999			_c387059 _d387059
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007			cr nn 008mamaa
008			230211s2010 sz | s |||| 0|eng d
020			_a9783031015502
024	7		_a10.1007/978-3-031-01550-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aZA4460 _b2010 EB
100	1		_aGenesereth, Michael R., _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686120 _d1948-
245	1	0	_aData Integration : _bThe Relational Logic Approach _cby Michael Genesereth
250			_a1st edition 2010
264		1	_aCham _bSpringer International Publishing _c2010
300			_a1 recurso en línea (XI, 97 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Artificial Intelligence and Machine Learning _x1939-4616
505	0		_aPreface -- Interactive Edition -- Introduction -- Basic Concepts -- Query Folding -- Query Planning -- Master Schema Management -- Appendix -- References -- Index -- Author Biography.
520			_aData 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, homogeneous 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. Table of Contents: Preface / Interactive Edition / Introduction / Basic Concepts / Query Folding / Query Planning / Master Schema Management / Appendix / References / Index / Author Biography Don't have access? Recommend our Synthesis Digital Library to your library or purchase a personal subscription. Email info@morganclaypool.com for details.
988			_aSynthesis Collection of Technology_2010
650		7	_2embne _9686599 _aOntologías (Recuperación de la información)
650		7	_2embne _9141902 _aBases de datos relacionales
776	0	8	_iPrinted edition: _z9783031004223
776	0	8	_iPrinted edition: _z9783031026782
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01550-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI