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Titlebook: Datalog and Logic Databases; Sergio Greco,Cristian Molinaro Book 2016 Springer Nature Switzerland AG 2016

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发表于 2025-3-21 16:18:49 | 显示全部楼层 |阅读模式
书目名称Datalog and Logic Databases
编辑Sergio Greco,Cristian Molinaro
视频video
丛书名称Synthesis Lectures on Data Management
图书封面Titlebook: Datalog and Logic Databases;  Sergio Greco,Cristian Molinaro Book 2016 Springer Nature Switzerland AG 2016
描述The 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
出版日期Book 2016
版次1
doihttps://doi.org/10.1007/978-3-031-01854-1
isbn_softcover978-3-031-00726-2
isbn_ebook978-3-031-01854-1Series ISSN 2153-5418 Series E-ISSN 2153-5426
issn_series 2153-5418
copyrightSpringer Nature Switzerland AG 2016
The information of publication is updating

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Japanese Environmental Regulationsot be accomplished with those languages. One of the peculiarities that distinguishes Datalog from the query languages presented in the previous chapter is ., which gives Datalog the capability to express queries like computing a graph transitive closure.
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Datalog,ot be accomplished with those languages. One of the peculiarities that distinguishes Datalog from the query languages presented in the previous chapter is ., which gives Datalog the capability to express queries like computing a graph transitive closure.
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Applications,Caroprese et al., 2006], and social network analysis [Seo et al., 2013]. Specifically, these works extend the Datalog language and its implementation techniques with constructs that are particularly useful for a specific domain.
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Book 2016ke 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
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