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003			ES-MaUEC
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007			cr nn 008mamaa
008			220601s2010 sz | s |||| 0|eng d
020			_a9783031018404
024	7		_a10.1007/978-3-031-01840-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHF5548.33 _b2010 EB
100	1		_aArenas Saavedra, Marcelo Alejandro _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687003
245	1	0	_aRelational and XML Data Exchange _cby Marcelo Arenas, Pablo Barcelo, Leonid Libkin, Filip Murlak
250			_a1st edition 2010
264		1	_aCham _bSpringer International Publishing _c2010
300			_a1 recurso en línea (VIII, 101 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Management _x2153-5426
505	0		_aOverview -- Relational Mappings and Data Exchange -- Metadata Management -- XML Mappings and Data Exchange.
520			_aData exchange is the problem of finding an instance of a target schema, given an instance of a source schema and a specification of the relationship between the source and the target. Such a target instance should correctly represent information from the source instance under the constraints imposed by the target schema, and it should allow one to evaluate queries on the target instance in a way that is semantically consistent with the source data. Data exchange is an old problem that re-emerged as an active research topic recently, due to the increased need for exchange of data in various formats, often in e-business applications. In this lecture, we give an overview of the basic concepts of data exchange in both relational and XML contexts. We give examples of data exchange problems, and we introduce the main tasks that need to addressed. We then discuss relational data exchange, concentrating on issues such as relational schema mappings, materializing target instances (including canonical solutions and cores), query answering, and query rewriting. After that, we discuss metadata management, i.e., handling schema mappings themselves. We pay particular attention to operations on schema mappings, such as composition and inverse. Finally, we describe both data exchange and metadata management in the context of XML. We use mappings based on transforming tree patterns, and we show that they lead to a host of new problems that did not arise in the relational case, but they need to be addressed for XML. These include consistency issues for mappings and schemas, as well as imposing tighter restrictions on mappings and queries to achieve tractable query answering in data exchange. Table of Contents: Overview / Relational Mappings and Data Exchange / Metadata Management / XML Mappings and Data Exchange.
988			_aSynthesis Collection of Technology_2010
650		7	_2embne _9156713 _aXML (Lenguaje de marcas)
650		7	_2embne _9141902 _aBases de datos relacionales
650		7	_2embne _9150633 _aIntercambio electrónico de datos
700	1		_aBarceló, Pablo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687004
700	1		_aLibkin, Leonid _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687005
700	1		_aMurlak, Filip _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687006
776	0	8	_iPrinted edition: _z9783031007125
776	0	8	_iPrinted edition: _z9783031029684
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01840-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI