Enhancing GISs for spatio-temporal reasoning

2002 ◽  
Author(s):  
A. Raffaetà ◽  
F. Turini ◽  
C. Renso
Keyword(s):  
Temporal Reasoning ◽  
Spatio Temporal

scholarly journals Spatio-temporal reasoning for the classification of satellite image time series

2012 ◽  
Vol 33 (13) ◽  
pp. 1805-1815 ◽  
Author(s):  
François Petitjean ◽  
Camille Kurtz ◽  
Nicolas Passat ◽  
Pierre Gançarski
Keyword(s):  
Time Series ◽  
Satellite Image ◽  
Temporal Reasoning ◽  
Spatio Temporal

scholarly journals Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges

2021 ◽  
Author(s):  
Michael Sioutis ◽  
Diedrich Wolter
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Real World ◽  
Temporal Reasoning ◽  
Current Status ◽  
Highly Active ◽  
Future Challenges ◽  
Symbolic Ai ◽  
Spatio Temporal ◽  
Time Critical

Qualitative Spatial & Temporal Reasoning (QSTR) is a major field of study in Symbolic AI that deals with the representation and reasoning of spatio- temporal information in an abstract, human-like manner. We survey the current status of QSTR from a viewpoint of reasoning approaches, and identify certain future challenges that we think that, once overcome, will allow the field to meet the demands of and adapt to real-world, dynamic, and time-critical applications of highly active areas such as machine learning and data mining.

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