R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution
This work addresses the validation and consistency of mapping rules for knowledge graph generation, which is incremental for researchers and practitioners in semantic web technologies.
The paper compares the R2RML and RML mapping languages for generating RDF knowledge graphs, assessing their proper application and identifying violations in vocabulary term usage.
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.