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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Matching Qualitative Spatial Scene Descriptions á la Tabu
verfasst von : Malumbo Chipofya, Angela Schwering, Talakisew Binor
Erschienen in: Advances in Soft Computing and Its Applications
Verlag: Springer Berlin Heidelberg
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Matching spatial scene descriptions requires appropriate representations and algorithms based on the application at hand. This work outlines a simple model for matching qualitatively described spatial scenes extracted from sketch maps. Standard qualitative constraint networks are combined to provide a suitable qualitative representation for a sketched spatial scene. Two scenes are then matched using an implementation of the Tabu search metaheuristic, employing standard and specialised data structures. We give a detailed description of the representation and algorithm, and examine the performance of the model using an example dataset.