In the ambient intelligence field, workflow technology is gaining a lot of consideration. Ambient intelligence systems are context-sensitive and can adjust according to it. Context-aware workflow modeling is a promising field Because it enables workflows to change in response to the environment. Additionally, workflow management depends heavily on time management. To avoid missing deadlines, timely schedule workflow process execution, and improve workflow turn-around. The approach described in this research uses the algebraic language Time-AgLOTOS to model context-aware workflows by incorporating time information into the workflow specification.

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