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Combinative Reasoning with RCC5 and Cardinal Direction Relations

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Knowledge Science, Engineering and Management (KSEM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4798))

Abstract

It is inadequate considering only one aspect of spatial information in practical problems, where several aspects are usually involved together. Reasoning with multi-aspect spatial information has become the focus of qualitative spatial reasoning. Most previous works of combing topological and directional information center on the combination with MBR based direction model or single-tile directions. The directional description is too approximate to do precise reasoning. Different from above, cardinal direction relations and RCC5 are introduced to represent directional and topological information. We investigate the mutual dependencies between basic relations of two formalisms, discuss the heterogeneous composition and give the detail composing rules. Then point out that only checking the consistency of topological and directional constraints before and after entailing by the constraints of each other respectively will result mistakes. Based on this, an improved constraint propagation algorithm is presented to enforce path consistency. And the computation complexities of checking the consistency of the hybrid constraints over various subsets of RCC5 and cardinal direction relations are analyzed at the end.

Supported by NSFC Major Research Program 60496321, National Natural Science Foundation of China under Grant Nos. 60373098, 60573073, 60603030, the National High-Tech Research and Development Plan of China under Grant No. 2006AA10Z245, the Major Program of Science and Technology Development Plan of Jilin Province under Grant No. 20020303, the Science and Technology Development Plan of Jilin Province under Grant No. 20030523, European Commission under Grant No. TH/Asia Link/010 (111084).

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References

  1. Cohn, A.G., Hazarika, S.M.: Qualitative spatial representation and reasoning: An overview. Fundamenta Informaticae. 43, 2–32 (2001)

    MathSciNet  Google Scholar 

  2. Sharma, J.: Integrated spatial reasoning in geographic information systems: combining topology and direction. Ph.D. Thesis, Department of Spatial Information Science and Engineering, University of Maine, Orono, ME (1996)

    Google Scholar 

  3. Sistla, A.P., Yu, C.: Reasoning about qualitative spatial relationships. Journal of Automated Reasoning. 25, 291–328 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  4. Li, S.: Combining Topological and Directional Information: First Results. In: Lang, J., Lin, F., Wang, J. (eds.) KSEM 2006. LNCS (LNAI), vol. 4092, pp. 252–264. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Li, S.: Combining Topological and Directional Information for Spatial Reasoning. In: Veloso, M.M. (ed.) 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 435–440 (2007)

    Google Scholar 

  6. Skiadopoulos, S., Koubarakis, M.: Composing cardinal direction relations. Artificial Intelligence 152, 143–171 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  7. Skiadopoulos, S., Koubarakis, M.: On the consistency of cardinal direction constraints. Artificial Intelligence 163, 91–135 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  8. Frank, A.U.: Qualitative spatial reasoning about cardinal directions. In: Mark, D., White, D. (eds.) Proc. of the 7th Austrian Conf. on Artificial Intelligence, pp. 157–167. Morgan Kaufmann, Baltimore (1991)

    Google Scholar 

  9. Freksa, C.: Using orientation information for qualitative spatial reasoning. In: Frank, A.U., Formentini, U., Campari, I. (eds.) Theories and Methods of Spatio-Temporal Reasoning in Geographic Space. LNCS, vol. 639, pp. 162–178. Springer, Heidelberg (1992)

    Google Scholar 

  10. Balbiani, P., Condotta, J.-F., Cerro, L.F.d.: A Model for Reasoning about Bidmensional Temporal Relations. In: Cohn, A.G., Schubert, L.K., Shapiro, S.C. (eds.) Proc. of Principles of Knowledge Representation and Reasoning (KR) Principles of Knowledge Representation and Reasoning, pp. 124–130. Morgan Kaufmann, Trento (1998)

    Google Scholar 

  11. Renz, J.: Qualitative Spatial Reasoning with Topological Information. LNCS (LNAI), vol. 2293. Springer, Heidelberg (2002)

    MATH  Google Scholar 

  12. Allen, J.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM. 26, 832–843 (1983)

    Article  MATH  Google Scholar 

  13. Navarrete, I., Sciavicco, G.: Spatial Reasoning with Rectangular Cardinal Direction Relations. In: ECAI 2006, Workshop on Spatial and Temporal Reasoning, Riva del Garda, Italy, pp. 1–9 (2006)

    Google Scholar 

  14. Navarrete, I., Morales, A., Sciavicco, G.: Consistency Checking of Basic Cardinal Constraints over Connected Regions. In: Veloso, M.M. (ed.) 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 495–500 (2007)

    Google Scholar 

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Zili Zhang Jörg Siekmann

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Chen, J., Liu, D., Zhang, C., Xie, Q. (2007). Combinative Reasoning with RCC5 and Cardinal Direction Relations. In: Zhang, Z., Siekmann, J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science(), vol 4798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76719-0_13

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  • DOI: https://doi.org/10.1007/978-3-540-76719-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76718-3

  • Online ISBN: 978-3-540-76719-0

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