Abstract
Representing and reasoning about spatial information is important in artificial intelligence and geographical information science. Relations between spatial entities are the most important kind of spatial information. Most current formalisms of spatial relations focus on one single aspect of space. This contrasts sharply with real world applications, where several aspects are usually involved together. This paper proposes a qualitative calculus that combines a simple directional relation model with the well-known topological RCC5 model. We show by construction that the consistency of atomic networks can be decided in polynomial time.
This work was partly supported by the Alexander von Humboldt Foundation and the National Natural Science Foundation of China (60305005, 60321002, 60496321).
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Li, S. (2006). Combining Topological and Directional Information: First Results. In: Lang, J., Lin, F., Wang, J. (eds) Knowledge Science, Engineering and Management. KSEM 2006. Lecture Notes in Computer Science(), vol 4092. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811220_22
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DOI: https://doi.org/10.1007/11811220_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37033-8
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