The summary abox: cutting ontologies down to size

  • Authors:
  • Achille Fokoue;Aaron Kershenbaum;Li Ma;Edith Schonberg;Kavitha Srinivas

  • Affiliations:
  • IBM Watson Research Center, Yorktown Heights, NY;IBM Watson Research Center, Yorktown Heights, NY;IBM China Research Lab, Beijing, China;IBM Watson Research Center, Yorktown Heights, NY;IBM Watson Research Center, Yorktown Heights, NY

  • Venue:
  • ISWC'06 Proceedings of the 5th international conference on The Semantic Web
  • Year:
  • 2006

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Abstract

Reasoning on OWL ontologies is known to be intractable in the worst-case, which is a serious problem because in practice, most OWL ontologies have large Aboxes, i.e., numerous assertions about individuals and their relations. We propose a technique that uses a summary of the ontology (summary Abox) to reduce reasoning to a small subset of the original Abox, and prove that our techniques are sound and complete. We demonstrate the scalability of this technique for consistency detection in 4 ontologies, the largest of which has 6.5 million role assertions.