Graph Rewriting Rules for RDF Database Evolution Management | Zendy

Jacques Chabin | Zendy; Cédric Eichler | Zendy; Mírian Halfeld Ferrari | Zendy; Nicolas Hiot | Zendy

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Graph Rewriting Rules for RDF Database Evolution Management

Author(s) -

Jacques Chabin,

Cédric Eichler,

Mírian Halfeld Ferrari,

Nicolas Hiot

Publication year - 2020

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/3428757.3429126

Subject(s) - computer science , rewriting , rdf , graph rewriting , theoretical computer science , schema (genetic algorithms) , graph , consistency (knowledge bases) , rdf schema , graph database , sparql , programming language , semantic web , information retrieval , artificial intelligence

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.

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