Summary: Spatial and Temporal aspects for pattern representation
and discovery in Intelligent Environments
Asier Aztiria1 and Juan Carlos Augusto2 and Alberto Izaguirre3
Abstract. Core to the development of an intelligent environment
is the understanding of where, when, and for how long, actions take
place. Our work addresses the process of discovering patterns of be-
haviour which may reflect preferences of a user on the use of devices.
A solution to this problem is essential for the automatization of en-
vironments like Smart Homes so that user preferences can be learnt
automatically by the system.
We present a language that allows us to represent in a clear and
non ambiguous way useful patterns that can occur in intelligent envi-
ronments like Smart Homes. The language is coupled with an algo-
rithm to learn patterns, related to the proposed language, from data
collected by sensors.
Terms such as Ubiquitous Computing  and Ambient Intelligence
(AmI) (see for example, ,  and , refer to an intelligent envi-
ronment, such as a smart home, where a place is enriched by means
of sensors and effectors to provide "a digital environment that proac-