论文标题

R2RML和RML比较RDF生成,其规则验证和不一致的解决方案

R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution

论文作者

Dimou, Anastasia

论文摘要

在本文中,提供了对知识图生成的最新技术的概述,重点介绍了两种普遍的映射语言:W3C推荐的R2RML及其概括RML。我们研究了它们的差异的详细信息,并解释了如何使用两种映射语言中的每一种以RDF图的形式生成知识图。然后,我们评估词汇术语是否适当地应用于数据,并且使用R2RML或RML来生成所需的知识图。

In this paper, an overview of the state of the art on knowledge graph generation is provided, with focus on the two prevalent mapping languages: the W3C recommended R2RML and its generalisation RML. We look into details on their differences and explain how knowledge graphs, in the form of RDF graphs, can be generated with each one of the two mapping languages. Then we assess if the vocabulary terms were properly applied to the data and no violations occurred on their use, either using R2RML or RML to generate the desired knowledge graph.

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