We present a framework for a declarative approach to spatio-temporal reasoning on geographical data, based on the constraint logical language STACLP, which offers deductive and inductive capabilities. It can be exploited for a deductive rule-based approach to represent domain knowledge on data. Furthermore, it is well suited to model trajectories of moving objects, which can be analysed by using inductive techniques, like clustering, in order to find common movement patterns. A sketch of a case study on behavioural ecology is presented. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Nanni, M., Raffaetà, A., Renso, C., & Turini, F. (2005). Deductive and inductive reasoning on spatio-temporal data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3392 LNAI, pp. 98–115). Springer Verlag. https://doi.org/10.1007/11415763_7
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