Selected Qualitative Spatio-temporal Calculi Developed for Constraint Reasoning: A Review
Debasis Mitra

TL;DR
This paper reviews various qualitative spatio-temporal calculi developed for constraint reasoning in AI, highlighting their potential application in topological data analysis.
Contribution
It provides a comprehensive overview of existing qualitative spatio-temporal calculi and discusses their relevance for broader AI and data analysis applications.
Findings
Reviewed multiple qualitative spatio-temporal calculi
Highlighted their applicability in topological data analysis
Aimed to expose the community to these representations
Abstract
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.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Constraint Satisfaction and Optimization · Data Management and Algorithms
