KGCW2023 Challenge Report RDFProcessingToolkit / Sansa
Keywords: RML, SPARQL, RDF, Knowledge Graph, Big data, Semantic Query Optimisation, Apache Spark, Challenge
TL;DR: Report of the RPT/Sansa RML-Mapper tool that won the "fastest" award in the KGCW2023 challange.
Abstract: This is the report of our participation in the KGCW2023 Challenge @ ESWC 2023 with our RDFProcessing-
Toolkit/Sansa system which won the “fastest” tool award. The challenge was about the construction of
RDF knowledge graphs from RML specifications with varying complexity in regard to the mix of input
formats, characteristics of the data and the needed join operations. We detail how we integrated our
tool into the provided benchmark framework. Thereby we also report on the issues and shortcomings
we encountered as a base for future improvements. Furthermore, we provide an analysis of the data
measured with the benchmark framework.
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