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A review of approaches for representing RCC8 in OWL

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Published:22 March 2010Publication History

ABSTRACT

This paper investigates several approaches for qualitative spatial knowledge representation on the Semantic Web, by using RCC8 relations. We discuss several issues arising when representing RCC8 in OWL DL, e.g., the lack of required features like role reflexivity, role Boolean operators, and role inclusion axioms. We conclude that, although some of these features are to be included in the new version of the OWL standard, OWL 2, this language still lacks the expressive power to support role negations, conjunctions, and disjunctions, and complex role inclusion axioms.

References

  1. R. Grütter and B. Bauer-Messmer. Combining OWL with RCC for Spatioterminological Reasoning on Environmental Data. In 3rd International Workshop on OWL: Experiences and Directions (OWLED 2007), CEUR Workshop Proceedings. CEUR-WS.org, 2007.Google ScholarGoogle Scholar
  2. R. Grütter and B. Bauer-Messmer. Towards Spatial Reasoning in the Semantic Web: A Hybrid Knowledge Representation System Architecture. In 10th AGILE International Conference on Geographic Information Science (AGILE 2007), pages 349--364. Springer, 2007.Google ScholarGoogle Scholar
  3. Y. Katz and B. C. Grau. Representing Qualitative Spatial Information in OWL-DL. In International Workshop on OWL: Experiences and Directions (OWLED 2005), volume 188 of CEUR Workshop Proceedings. CEUR-WS.org, 2006.Google ScholarGoogle Scholar
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  5. D. A. Randell, Z. Cui, and A. G. Cohn. A Spatial Logic Based on Regions and Connection. In 3rd International Conference on Knowledge Representation and Reasoning (KR 1992), pages 165--176. Morgan Kaufmann, 1992.Google ScholarGoogle Scholar

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  1. A review of approaches for representing RCC8 in OWL

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      cover image ACM Conferences
      SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing
      March 2010
      2712 pages
      ISBN:9781605586397
      DOI:10.1145/1774088

      Copyright © 2010 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 March 2010

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      SAC '10 Paper Acceptance Rate364of1,353submissions,27%Overall Acceptance Rate1,650of6,669submissions,25%

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