A Survey of Qualitative Spatial and Temporal Calculi -- Algebraic and Computational Properties
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Abstract (arXiv)
Qualitative Spatial and Temporal Reasoning (QSTR) is concerned with symbolic knowledge representation, typically over infinite domains. The motivations for employing QSTR techniques range from exploiting computational properties that allow efficient reasoning to capture human cognitive concepts in a computational framework. The notion of a qualitative calculus is one of the most prominent QSTR formalisms. This article presents the first overview of all qualitative calculi developed to date and their computational properties, together with generalized definitions of the fundamental concepts and methods, which now encompass all existing calculi. Moreover, we provide a classification of calculi according to their algebraic properties.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jun 2016.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 1.
3 papers.
- 2022Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logiccited by 5
- 2025Explainable Scene Understanding with Qualitative Representations and Graph Neural Networkscited by 1
- 2026QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculicited by 1
- 2026QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi18 May 2026
- 2025Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks17 Apr 2025
- 2022Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic29 Jun 2022