BioBenchmark Toyama 2012: an evaluation of the performance of triple stores on biological data.

ABSTRACT:

Background

Biological databases vary enormously in size and data complexity, from small databases that contain a few million Resource Description Framework (RDF) triples to large databases that contain billions of triples. In this paper, we evaluate whether RDF native stores can be used to meet the needs of a biological database provider. Prior evaluations have used synthetic data with a limited database size. For example, the largest BSBM benchmark uses 1 billion synthetic e-commerce knowledge RDF triples on a single node. However, real world biological data differs from the simple synthetic data much. It is difficult to determine whether the synthetic e-commerce data is efficient enough to represent biological databases. Therefore, for this evaluation, we used five real data sets

SUBMITTER: Wu H 

PROVIDER: S-EPMC4118313 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature