| 000 | 03807nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01550-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163625.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2010 sz | s |||| 0|eng d | ||
| 020 |
_a9783031015502 _9978-3-031-01550-2 |
||
| 024 | 7 |
_a10.1007/978-3-031-01550-2 _2doi |
|
| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aGenesereth, Michael. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979579 |
|
| 245 | 1 | 0 |
_aData Integration _h[electronic resource] : _bThe Relational Logic Approach / _cby Michael Genesereth. |
| 250 | _a1st ed. 2010. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2010. |
|
| 300 |
_aXI, 97 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 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. | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 0 |
_aMachine learning. _91831 |
|
| 650 | 0 |
_aNeural networks (Computer science) . _979580 |
|
| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aMachine Learning. _91831 |
| 650 | 2 | 4 |
_aMathematical Models of Cognitive Processes and Neural Networks. _932913 |
| 710 | 2 |
_aSpringerLink (Online service) _979581 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031004223 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031026782 |
| 830 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 _979582 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01550-2 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84805 _d84805 |
||