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A knowledge representation system is introduced that allows the recognition of temporal patterns of events in context-aware environments. The system is based on standard frameworks, such as an ontology, an inference mechanism, and relational operators acting on numerical quantities. The paper describes how knowledge is managed, then introduces a collection of temporal operators that are inspired by the Allen's interval algebra, and then details a situation recognition algorithm to assess knowledge semantics. An example is reported to describe the approach.
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