@inproceedings{1134747dca7244fb8afc61a4ddb308d7,
title = "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.",
author = "Kurt Rohloff and Mike Dean and Ian Emmons and Dorene Ryder and John Sumner",
year = "2007",
doi = "10.1007/978-3-540-76890-6_38",
language = "English (US)",
isbn = "9783540768890",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "1105--1114",
booktitle = "On the Move to Meaningful Internet Systems 2007",
address = "Germany",
edition = "PART 2",
note = "OTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007 ; Conference date: 25-11-2007 Through 30-11-2007",
}