Skip to main content

Efficient Reasoning with RCC-3D

  • Conference paper
Book cover Knowledge Science, Engineering and Management (KSEM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6291))

Abstract

Qualitative spatial reasoning is an important function of the human brain. Artificial systems that can perform such reasoning have many applications such as Geographic Information Systems (GIS), robotics, biomedicine, and engineering. Automation of such analytical processes alleviates manual labor, and may increase the accuracy of the spatial assessments because the reasoning can be done objectively using 3D digital representations of the objects. Herein we introduce an algorithm to determine the spatial relation that exists between a pair of 3D objects when no a priori spatial knowledge is given. A second algorithm is presented to efficiently find the spatial relation that holds between each pair of objects in a set of 3D objects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Escrig, M.T., Toledo, F.: Qualitative spatial Reasoning: Theory and Practice: Application to Robot Navigation. IOS Press, Amsterdam (1998)

    MATH  Google Scholar 

  2. Cohn, A.G., Renz, J.: Qualitative Spatial Representation and Reasoning. In: Handbook of Knowledge Representation, pp. 551–596. Elsevier, Amsterdam (2008)

    Chapter  Google Scholar 

  3. Albath, J., Leopold, J.L., Sabharwal, C.L., Maglia, A.M.: RCC-3D: Qualitative Spatial Reasoning in 3D. Submitted to Journal of Biomedical Semantics (2009)

    Google Scholar 

  4. Randell, D.A., Cui, Z., Cohn, A., Nebel, B., Rich, C., Swartout, W.: A spatial logic based on regions and connection. In: Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning, KR 1992, pp. 165–176. Morgan Kaufmann, San Francisco (1992)

    Google Scholar 

  5. Wallgrün, J., Frommberger, L., Wolter, D., Dylla, F., Freksa, C.: Qualitative spatial representation and reasoning in the sparq-toolbox. In: Barkowsky, T., Knauff, M., Ligozat, G., Montello, D.R. (eds.) Spatial Cognition 2007. LNCS (LNAI), vol. 4387, pp. 39–58. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Apt, K.R., Brand, S.: Infinite Qualitative Simulations by Means of Constraint Programming. In: Benhamou, F. (ed.) CP 2006. LNCS, vol. 4204, pp. 29–43. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Duckham, M., Lingham, J., Mason, K., Worboys, M.: Qualitative Reasoning about Consistency in Geographic Information. Information Sciences 176(6), 601–627 (2006)

    Article  Google Scholar 

  8. Ligozat, G., Renz, J.: What is a qualitative calculus? A general framework. In: Zhang, C., Guesgen, H.W., Yeap, W.-K. (eds.) PRICAI 2004. LNCS (LNAI), vol. 3157, pp. 53–64. Springer, Heidelberg (2004)

    Google Scholar 

  9. Li, S., Ying, M.: Generalized Region Connection Calculus. Artificial Intelligence 160(1-2), 1–34 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  10. Gent, I., Miguel, I., Rendl, A.: Tailoring Solver-Independent Constraint Models: A Case Study with Essence’ and Minion. In: Miguel, I., Ruml, W. (eds.) SARA 2007. LNCS (LNAI), vol. 4612, pp. 184–199. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Egenhofer, M.J., Herring, J.: Categorizing binary topological relations between regions, lines, and points in geographic databases. NCGIA Technical Reports, 91-7 (1991)

    Google Scholar 

  12. Mouhoub, M.: Dynamic path consistency for interval-based temporal reasoning. In: Proceedings of the IASTED 21st International Conference on Artificial Intelligence and Applications. ACTA Press (2003)

    Google Scholar 

  13. Renz, J., Nebel, B.: Spatial Reasoning with Topological Information. In: Freksa, C., Habel, C., Wender, K.F. (eds.) Spatial Cognition 1998. LNCS (LNAI), vol. 1404, pp. 351–372. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  14. Zygote Media Group: http://www.zygote.com

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Albath, J., Leopold, J.L., Sabharwal, C.L., Perry, K. (2010). Efficient Reasoning with RCC-3D. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15280-1_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15279-5

  • Online ISBN: 978-3-642-15280-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics