000 04046nam a22005295i 4500
001 978-3-031-01840-4
003 DE-He213
005 20240730163729.0
007 cr nn 008mamaa
008 220601s2010 sz | s |||| 0|eng d
020 _a9783031018404
_9978-3-031-01840-4
024 7 _a10.1007/978-3-031-01840-4
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aArenas, Marcelo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980241
245 1 0 _aRelational and XML Data Exchange
_h[electronic resource] /
_cby Marcelo Arenas, Pablo Barcelo, Leonid Libkin, Filip Murlak.
250 _a1st ed. 2010.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2010.
300 _aVIII, 101 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 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.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_980242
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aBarcelo, Pablo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980243
700 1 _aLibkin, Leonid.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980244
700 1 _aMurlak, Filip.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980245
710 2 _aSpringerLink (Online service)
_980246
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007125
776 0 8 _iPrinted edition:
_z9783031029684
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_980247
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01840-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c84924
_d84924