An Agent Framework for Knowledge-based Homes
نویسندگان
چکیده
Current technologies for Home and Building Automation (HBA) require an explicit interaction with the user and allow a static set of operational scenarios, defined during system implementation. More flexible HBA solutions are needed to enable the so-called Ambient Intelligence, permitting an automatic coordination and control of appliances and subsystems located in a given environment. This paper proposes an agent-based approach leveraging semantic-based resource discovery and orchestration in HBA. Backwardcompatible enhancements to one of the most widespread domotic standards, i.e., EIB/KNX ISO/IEC 14543-3, have been devised, in order to support novel functionalities. The semantic annotation of user profiles and device capabilities is used to: (i) determine the most suitable home services/functionalities according to implicit and explicit user needs, (ii) allow device-driven interaction for autonomous adaptation of the environment to context modification. A case study about power management in HBA is presented to better clarify the proposal and assess its effectiveness.
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