PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Nanni M., Raffaetá A., Renso C., Turini F. Deductive and inductive reasoning on spatio-temporal data. In: International Conference on Applications of Prolog (INAP 2004) (Berlin, Germany, 4-6 March 2004). Proceedings, pp. 98 - 115. Dietmar Seipel, Michael Hanus, Ulrich Geske, Oskar Bartenstein (eds.). (Lecture Notes in Computer Science, vol. 3392). Springer-Verlag GmbH, 2005.
 
 
Abstract
(English)
We present a framework for a declarative approach to spatiotemporal 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 behavioral ecology is presented.
URL: http://ercolino.isti.cnr.it/mirco/papers.html
Subject Spatio-temporal reasoning
Spatio-temporal Data Mining
Logic Programming
H.2.8 Database Applications


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