A Framework for Assessing and Refining the Quality of R2RML mappings

Alex Randles, Ademar Crotti Junior, D. O’Sullivan
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引用次数: 4

Abstract

"Uplift" mapping execution applies a set of mapping definitions to transform non-RDF data sources to RDF. During the uplift mapping process, mapping definitions are iteratively refined until they conform with the user's expressed requirements. The W3C standard R2RML is one language which allows for specifying the mappings needed to generate RDF datasets from relational databases. Many approaches have been proposed to assess the quality of the generated RDF datasets, even though the root cause of several of those quality violations are found in mappings. In this paper, we present a framework for assessing and refining the quality of the definitions used to transform non-RDF data to RDF. This paper also provides an overview of an implementation of the proposed quality assessment framework for the R2RML mapping language, which uses the W3C standard Shapes Constraint Language (SHACL). We also provide a demonstration of the proposed framework and its implementation through a walkthrough use case.
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评估和改进R2RML映射质量的框架
“提升”映射执行应用一组映射定义来将非RDF数据源转换为RDF。在提升映射过程中,映射定义被迭代地细化,直到它们符合用户表达的需求。W3C标准R2RML是一种语言,它允许指定从关系数据库生成RDF数据集所需的映射。已经提出了许多方法来评估生成的RDF数据集的质量,尽管其中一些质量违规的根本原因是在映射中发现的。在本文中,我们提出了一个框架,用于评估和改进用于将非RDF数据转换为RDF的定义的质量。本文还概述了建议的R2RML映射语言质量评估框架的实现,该框架使用W3C标准形状约束语言(SHACL)。我们还通过一个演练用例提供了所建议的框架及其实现的演示。
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