Spatio-temporal reasoning with qualitative and quantitative information about constraints and approximations

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Abstract

This paper constructs a computational model for spatio-temporal constraint reasoning and approximate measuring by quantitative and qualitative methods. We develop a spatio-temporal algebra system as an efficient computational model to unify time-varying events and spatial-varying objects. Several computation algorithms and operations for dealing with spatio-temporal constraints are proposed. The combined temporal/spatial models are generalized by composing point and interval algebra with qualitative and quantitative functions. The time interval relations can be encoded and represented as a neat graphical representation. The interval relational-distances were derived for comparing similarity between two intervals relations. Base on the temporal models and the stage graph with relational-distances, the algorithms are extended to compute spatial relations between objects in space. © 2012 Springer-Verlag.

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APA

Chang, A. Y. (2012). Spatio-temporal reasoning with qualitative and quantitative information about constraints and approximations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7345 LNAI, pp. 563–573). https://doi.org/10.1007/978-3-642-31087-4_58

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