Graph Rewriting Rules for RDF Database Evolution Management

Jacques Chabin, Cédric Eichler, Mirian Halfeld-Ferrari, Nicolas Hiot
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引用次数: 1

Abstract

This paper introduces SetUp, a theoretical and applied framework for the management of RDF/S database evolution on the basis of graph rewriting rules. Rewriting rules formalize instance or schema changes, ensuring graph's consistency with respect to given constraints. Constraints considered in this paper are a well known variant of RDF/S semantic, but the approach can be adapted to user-defined constraints. Furthermore, SetUp manages updates by ensuring rule applicability through the generation of side-effects: new updates which guarantee that rule application conditions hold. We provide herein formal validation and experimental evaluation of SetUp.
RDF数据库演化管理中的图重写规则
本文介绍了基于图重写规则的RDF/S数据库演化管理的理论和应用框架SetUp。重写规则使实例或模式的更改形式化,从而确保图与给定约束的一致性。本文中考虑的约束是RDF/S语义的一种众所周知的变体,但是该方法可以适应用户定义的约束。此外,SetUp通过生成副作用来确保规则的适用性来管理更新:新的更新保证规则应用程序条件保持不变。我们在此提供了正式的验证和实验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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