Cognitive Management Framework for Internet of Things

applications are modeled to understand and react based on existing contextual and situational parameters. This work implements a management flow for the abstraction of real world objects and virtual composition of those objects to provide IoT services. We also present a real world knowledge model that aggregates constraints defining a situation, which is then used to detect and anticipate future potential situations. It is implemented based on reasoning and machine learning mechanisms. This work showcases a prototype implementation of the architectural framework in a smart home scenario, targeting two functionalities: actuation and automa-tion based on the imposed constraints and thereby responding to situations and also adapting to the user preferences. It thus provides a productive integration of heterogeneous devices, IoT platforms, and cognitive technologies to improve the services provided to the user