Abstract
The objective of this paper is to develop commonsense knowledge modeling and reasoning for ambient intelligence. Urban plaza activity is set to be the theme in this paper. By collecting various activities and events of human beings in urban plaza, dependencies are further analyzed. In this research, the commonsense knowledge model of activities in urban leisure space is called “SmartCypin”. This paper presents a semantic network of commonsense knowledge that is useful in capturing human experience in ambient intelligence environments.
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