RDF生成的R2RML和RML比较、规则验证和不一致性解决
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution
摘要:
本文综述了知识图谱生成技术的发展现状,重点介绍了两种流行的映射语言:W3C推荐的R2RML及其推广的RML。我们将详细了解它们的差异,并解释如何以RDF图的形式生成知识图谱,这两种映射语言中的每一种都可以生成。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谱。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。