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Titlebook: Relational and XML Data Exchange; Marcelo Arenas,Pablo Barceló,Filip Murlak Book 2010 Springer Nature Switzerland AG 2010

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書目名稱Relational and XML Data Exchange
編輯Marcelo Arenas,Pablo Barceló,Filip Murlak
視頻videohttp://file.papertrans.cn/827/826128/826128.mp4
叢書名稱Synthesis Lectures on Data Management
圖書封面Titlebook: Relational and XML Data Exchange;  Marcelo Arenas,Pablo Barceló,Filip Murlak Book 2010 Springer Nature Switzerland AG 2010
描述Data 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 s
出版日期Book 2010
版次1
doihttps://doi.org/10.1007/978-3-031-01840-4
isbn_softcover978-3-031-00712-5
isbn_ebook978-3-031-01840-4Series ISSN 2153-5418 Series E-ISSN 2153-5426
issn_series 2153-5418
copyrightSpringer Nature Switzerland AG 2010
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978-3-031-00712-5Springer Nature Switzerland AG 2010
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Overview,etween 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.
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