Home network semantic modeling and reasoning — A case study

To use smart home services efficiently, semantic modeling of different layers of home network resources as well as environment data and user´s personal data is required. This suggests that a smart home system must be able to support data fusion and derive the context where services are operating in order to classify the new information provided by network agents correctly. Following the recent home network standardization efforts, the paper presents a feasible approach of smart home services and acts as a proof-of-concept for a dynamic home network management and diagnostics system.