Models for Efficient Semantic Data Storage Demonstrated on Concrete Example of DBpedia
In this paper, the authors introduce a benchmark to test efficiency of RDF data model for data storage and querying in relation to a concrete dataset. They created Czech DBpedia - a freely available dataset composed of data extracted from Czech Wikipedia. But during creation and querying of this dataset, they faced problems caused by a lack of performance of used RDF storage. They designed metrics to measure efficiency of data storage approaches. Their metric quantifies the impact of data decomposition in RDF triples.