Combining topological and directional information: First results

Springer-Verlag Berlin
Publication Type:
Conference Proceeding
Knowledge Science, Engineering And Management : Lecture Notes in Artificial Intelligence Vol 4092, 2006, 4092 pp. 252 - 264
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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.
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