Qualitative Representation of Spatial Knowledge
Qualitative Representation of Spatial Knowledge
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Toward a geometry of common sense: a semantics and a complete axiomatization of mereotopology
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A Qualitative Hidden Markov Model for Spatio-temporal Reasoning
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Situation prediction nets: playing the token game for ontology-driven situation awareness
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Towards modeling dynamic behavior with integrated qualitative spatial relations
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
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In this paper, we present a framework abstracting motion by creating a qualitative representation of classes describing motion, and use the continuity constraints implicitly embedded in the semantics of these classes to create a framework that enables plausible reasoning about them. In particular, we propose a topology-based calculus of motion whose primitive is a motion class. We subsequently construct a set of primitive motion classes that exhaustively describes the change in topology between two moving objects, and show how compound motion classes are formed from these primitive motion classes using continuity constraints we make explicit. We use composition tables to define queries in the spatio-temporal domain and enable the extension of the classes to reason about the change in topology among three objects as they move.