Models for Efficient Semantic Data Storage Demonstrated on Concrete Example of DBpedia.

In this paper, we introduce a benchmark to test efficiency of RDF data model for data storage and querying in relation to a concrete dataset. We created Czech DBpedia a freely available dataset composed of data extracted from Czech Wikipedia. But during creation and querying of this dataset, we faced problems caused by a lack of performance of used RDF storage. We designed metrics to measure efficiency of data storage approaches. Our metric quantifies the impact of data decomposition in RDF triples. Results of our benchmark applied to the dataset of Czech DBpedia are presented.