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LUBM: A Benchmark for OWL Knowledge Base Systems

34 Pages Posted: 5 Jul 2018 Publication Status: Accepted

See all articles by Yuanbo Guo

Yuanbo Guo

Lehigh University - Department of Computer Science and Engineering

Zhengxiang Pan

Lehigh University - Department of Computer Science and Engineering

Jeff Heflin

Lehigh University - Department of Computer Science and Engineering

Abstract

We describe our method for benchmarking Semantic Web knowledge base systems with respect to use in large OWL applications. We present the Lehigh University Benchmark (LUBM) as an example of how to design such benchmarks. The LUBM features an ontology for the university domain, synthetic OWL data scalable to an arbitrary size, fourteen extensional queries representing a variety of properties, and several performance metrics. The LUBM can be used to evaluate systems with different reasoning capabilities and storage mechanisms. We demonstrate this with an evaluation of two memory-based systems and two systems with persistent storage.

Keywords: Semantic Web, Knowledge Base System, Lehigh University Benchmark, Evaluation

Suggested Citation

Guo, Yuanbo and Pan, Zhengxiang and Heflin, Jeff, LUBM: A Benchmark for OWL Knowledge Base Systems (2005). Available at SSRN: https://ssrn.com/abstract=3199255 or http://dx.doi.org/10.2139/ssrn.3199255

Yuanbo Guo

Lehigh University - Department of Computer Science and Engineering ( email )

19 Memorial Drive West
Bethlehem, PA 18015
United States

Zhengxiang Pan

Lehigh University - Department of Computer Science and Engineering ( email )

19 Memorial Drive West
Bethlehem, PA 18015
United States

Jeff Heflin

Lehigh University - Department of Computer Science and Engineering ( email )

19 Memorial Drive West
Bethlehem, PA 18015
United States

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