Selected Qualitative Spatio-temporal Calculi Developed for Constraint Reasoning: A Review
It provides a review for researchers interested in qualitative knowledge representation, but it is incremental as it summarizes existing work.
The paper reviews qualitative spatio-temporal calculi developed for constraint reasoning in AI, aiming to expose these techniques to other groups and apply them in topological data analysis.
In this article a few of the qualitative spatio-temporal knowledge representation techniques developed by the constraint reasoning community within artificial intelligence are reviewed. The objective is to provide a broad exposure to any other interested group who may utilize these representations. The author has a particular interest in applying these calculi (in a broad sense) in topological data analysis, as these schemes are highly qualitative in nature.