Go to ESWC 2025 Workshop KGCW homepageRMLMapper supported by RML-view-to-CSV in the KGCW Challenge 2025
Keywords: RMLMapper, RML-view-to-CSV, challenge, knowledge graph construction
TL;DR: Participation result of RMLMapper supported by RML-view-to-CSV in the KGCW Challenge 2025 for the module RML-Core, RML-IO and RML-LV
Abstract: This paper presents the results of the Knowledge Graph Construction Workshop 2025 Challenge with RMLMapper, a reference in-memory JAVA implementation of the RML specification (RMLio) before RML got taken up by the W3C Knowledge Graph Construction (KGC) Community Group (RMLkgc). We updated RMLMapper to translate R2RML and RMLio into the latest version of RMLkgc. We participated in the challenge for the modules RML-Core, RML-IO and RML-LV. RMLMapper largely supports RML-Core and RML-IO (90% and 65%). For RML-LV, we added RML-view-to-CSV as a first step to our knowledge graph construction pipeline to materialize RML logical views (RML-LV) as CSV files. This way, RMLMapper largely supports RML-LV (81%). We currently cannot claim full coverage of the RMLkgc specification, however, this challenge enabled us to uncover the current gaps in our implementation, and allowed us to provide basic RMLkgc support in a mature JAVA implementation. Our continued participation in the community group will allow us to remain up to date with the latest developments in RMLkgc and further identify future implementation priorities for the RMLMapper.
Submission Number: 12
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