Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/21176
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dc.contributor.authorGreco, Sergioen_US
dc.contributor.authorMolinaro, Cristianen_US
dc.date.accessioned2016-06-10T08:32:18Z
dc.date.available2016-06-10T08:32:18Z
dc.date.issued2016en_US
dc.identifier.isbn9781627051132en_US
dc.identifier.isbn9781627051149en_US
dc.identifier.otherHPU1160123en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21176-
dc.description.abstractThe 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.en_US
dc.format.extent171 p.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.publisherMorgan and Claypool Publishersen_US
dc.relation.ispartofseriesSynthesis lectures on data management # 41en_US
dc.subjectDatalogen_US
dc.subjectLogic databasesen_US
dc.subjectDatabaseen_US
dc.titleDatalog and logic databasesen_US
dc.typeBooken_US
dc.size1,178KBen_US
dc.departmentEnglish resourcesen_US
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