An Evaluation of Triple-Store Technologies for Large Data Stores

Abstract. This paper presents a comparison of performance of various triplestore technologies currently in either production release or beta test. Our comparison of triple-store technologies is biased toward a deployment scenario where the triple-store needs to load data and respond to queries over a very large knowledge base (on the order of hundreds of millions of triples.) The comparisons in this paper are based on the Lehigh University Benchmark (LUBM) software tools. We used the LUBM university ontology, datasets, and standard queries to perform our comparisons. We find that over our test regimen, the triple-stores based on the DAML DB and BigOWLIM technologies exhibit the best performance among the triple-stores tested.

• Type: Conference
• Year: 2007
• Where: OTM
• Authors: Kurt Rohloff, Mike Dean, Ian Emmons, Dorene Ryder, John Sumner
• Keywords: Internet Technology, Large Knowledge Base, LUBM University Ontology, OTM 2007, Various Triplestore Technologies