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S2RDF
2016
Proceedings of the VLDB Endowment
RDF has become very popular for semantic data publishing due to its flexible and universal graph-like data model. Thus, the ever-increasing size of RDF data collections raises the need for scalable distributed approaches. We endorse the usage of existing infrastructures for Big Data processing like Hadoop for this purpose. Yet, SPARQL query performance is a major challenge as Hadoop is not intentionally designed for RDF processing. Existing approaches often favor certain query pattern shapes
doi:10.14778/2977797.2977806
fatcat:kehcu2c43rhczorh4nl7vkxlwu