A comparison of ontology reasoning systems using query sequences

  • Authors:
  • Chulki Lee;Sungchan Park;Dongjoo Lee;Jae-won Lee;Ok-Ran Jeong;Sang-goo Lee

  • Affiliations:
  • Seoul National University, Seoul, Republic of Korea;Seoul National University, Seoul, Republic of Korea;Seoul National University, Seoul, Republic of Korea;Seoul National University, Seoul, Republic of Korea;University of Illinois at Urbana-Champaign, Urbana, IL;Seoul National University, Seoul, Republic of Korea

  • Venue:
  • Proceedings of the 2nd international conference on Ubiquitous information management and communication
  • Year:
  • 2008

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Abstract

A number of ontology reasoning systems have been developed for reasoning and querying the semantic web. Since they implement different reasoning algorithms and optimization techniques, they differ in a number of ways. Previous attempts at comparing performance of ontology reasoning systems have mainly considered performances of individual query requests. In this paper, we present the results of testing four of the most popular ontology reasoning systems on query sequences that reflect real world use cases. We believe that using query sequences is a more effective way to evaluate ontology reasoning systems.