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Inductive Logic Programming in Databases: From Datalog to DL+log~(-V)

机译:数据库中的归纳逻辑编程:从数据记录到DL + log〜(-V)

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In this paper we address an issue that has been brought to the attention of the database community with the advent of the Semantic Web, i.e., the issue of how ontologies (and semantics conveyed by them) can help solving typical database problems, through a better understanding of Knowledge Representation (KR) aspects related to databases. In particular, we investigate this issue from the ILP perspective by considering two database problems, (ⅰ) the definition of views and (ⅱ) the definition of constraints, for a database whose schema is represented also by means of an ontology. Both can be reformulated as ILP problems and can benefit from the expressive and deductive power of the KR framework 'DL+log~(-V). We illustrate the application scenarios by means of examples.
机译:在本文中,我们解决了随着语义Web的出现而引起数据库社区注意的一个问题,即,本体(以及本体所传达的语义)如何通过更好的解决方案来帮助解决典型的数据库问题。了解与数据库有关的知识表示(KR)方面。特别是,我们从ILP的角度研究了这个问题,考虑了两个数据库问题,即(ⅰ)视图的定义和(ⅱ)约束的定义,对于其架构也通过本体表示的数据库。两者都可以重新表述为ILP问题,并且可以受益于KR框架DL + log〜(-V)的表达和演绎能力。我们通过示例来说明应用场景。

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