Deductive and inductive reasoning on spatio-temporal data

被引：0

作者：

Nanni, M ^{[1
]}

Raffaetà, A

Renso, C

Tirini, F

机构：

[1] CNR, USTU, I-56100 Pisa, Italy

[2] Univ Ca Foscari Venezia, Dipartimento Informat, Venice, Italy

[3] Univ Pisa, Dipartimento Fis, I-56100 Pisa, Italy

来源：

APPLICATIONS OF DECLARATIVE PROGRAMMING AND KNOWLEDGE MANAGEMENT | 2005年 / 3392卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：98 / 115

页数：18

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