Abstract
Within a smart space where users are provided with proactive services and enhanced interaction experiences, context-awareness is one of the fundamental requirements. Upon representing and deriving higher-level contextual knowledge from sensory observations, especially where the target environment involves physical spaces and objects, their spatial characteristics are the major elements for monitoring and understanding meaningful contexts and their changes. This paper outlines our context representation and reasoning approach based on spatial objects, along with a layered knowledge model for contextual knowledgebase and the reasoning process for higher-level context generation.
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