High-Quality Knowledge Graphs Generation: R2RML and RML Comparison, Rules Validation and Inconsistency Resolution

Anastasia Dimou
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引用次数: 3

Abstract

In this chapter, 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.
高质量知识图生成:R2RML和RML比较,规则验证和不一致解决
在本章中,概述了知识图生成的最新技术,重点介绍了两种流行的映射语言:W3C推荐的R2RML及其一般化的RML。我们将详细研究它们之间的差异,并解释如何使用这两种映射语言中的每一种以RDF图的形式生成知识图。然后我们评估词汇表术语是否正确地应用于数据,并且在使用它们时没有发生违规,使用R2RML或RML来生成所需的知识图。
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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