LUBM: A benchmark for OWL knowledge base systems

  • Authors:
  • Yuanbo Guo;Zhengxiang Pan;Jeff Heflin

  • Affiliations:
  • Computer Science & Engineering Department, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA;Computer Science & Engineering Department, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA;Computer Science & Engineering Department, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA

  • Venue:
  • Web Semantics: Science, Services and Agents on the World Wide Web
  • Year:
  • 2005

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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, 14 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.