Pre-processing of RDF data for METIS partitioning
Siham Benhamed, Safia Nait Bahloul · International Journal of Metadata Semantics and Ontologies · 2023
The partitioning of RDF data on a large scale allows generating a set of RDF data subgraphs.METIS is a graph partitioning technique that minimises the cost of partitioning.METIS applies, among other things, to RDF graphs.However, the semantics introduced in the description of RDF data is not taken into account in the partitioning process in METIS.For this, we propose in this paper a step of pre-processing RDF data before partitioning these data.The objective of this step is to improve the quality of semantic partitioning of RDF graphs.The evaluation of the RDF pre-processing step for METIS was performed on real and synthetic data.