Configuration of smart environments made simple: Combining visual modeling with semantic metadata and reasoning

摘要: We present an approach that combines semantic metadata and reasoning with a visual modeling tool to enable the goal-driven configuration of smart environments for end users. In contrast process-driven systems where service mashups are statically defined, this makes use embedded API descriptions dynamically create fulfill user's goal. The main advantage presented system is its high degree flexibility, as can adapt dynamic fault-tolerant respect individual services becoming unavailable. To support users in expressing their goals, we integrated programming our system. This enables model desired state environment graphically thus hides technicalities underlying semantics reasoning. Possible applications include homes increase well-being, reconfigurations environments, instance industrial automation or healthcare domains.