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.
@article{arxiv.1812.02580,
title = {Selected Qualitative Spatio-temporal Calculi Developed for Constraint Reasoning: A Review},
author = {Debasis Mitra},
journal= {arXiv preprint arXiv:1812.02580},
year = {2018}
}