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| 001 | 387263 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 220601s2016 sz | s |||| 0|eng d | ||
| 020 | _a9783031018541 | ||
| 024 | 7 |
_a10.1007/978-3-031-01854-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.73.D24 _b2016 EB |
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| 100 | 1 |
_aGreco, Sergio _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686321 |
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| 245 | 1 | 0 |
_aDatalog and Logic Databases _cby Sergio Greco, Cristian Molinaro |
| 250 | _a1st edition 2016 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 | _a1 recurso en línea (XIII, 155 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aSynthesis Lectures on Data Management _x2153-5426 |
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| 505 | 0 | _aAcknowledgments -- Introduction -- Logic and Relational Databases -- Datalog -- Negation -- Function Symbols -- Aggregates -- Query Optimization -- Applications -- Bibliography -- Authors' Biographies . | |
| 520 | _aThe use of logic in databases started in the late 1960s. In the early 1970s Codd formalized databases in terms of the relational calculus and the relational algebra. A major influence on the use of logic in databases was the development of the field of logic programming. Logic provides a convenient formalism for studying classical database problems and has the important property of being declarative, that is, it allows one to express what she wants rather than how to get it. For a long time, relational calculus and algebra were considered the relational database languages. However, there are simple operations, such as computing the transitive closure of a graph, which cannot be expressed with these languages. Datalog is a declarative query language for relational databases based on the logic programming paradigm. One of the peculiarities that distinguishes Datalog from query languages like relational algebra and calculus is recursion, which gives Datalog the capability to express queries like computing a graph transitive closure. Recent years have witnessed a revival of interest in Datalog in a variety of emerging application domains such as data integration, information extraction, networking, program analysis, security, cloud computing, ontology reasoning, and many others. The aim of this book is to present the basics of Datalog, some of its extensions, and recent applications to different domains. | ||
| 988 | _aSynthesis Collection of Technology_2016 | ||
| 650 | 7 |
_2embne _9160750 _aProgramación lógica |
|
| 650 | 7 |
_2embne _9352038 _aBases de datos relacionales _xDiseño |
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| 700 | 1 |
_aMolinaro, Cristian _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686322 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031007262 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031029820 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01854-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2023 _dz _esc _zSI |
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