Matches in ScholarlyData for { ?s ?p Home automation has recently gained a new momentum thanks to the ever-increasing commercial availability of domotic com- ponents. In this context, researchers are working to provide interopera- tion mechanisms and to add intelligence on top of them. For supporting intelligent behaviors, house modeling is an essential requirement to un- derstand current and future house states and to possibly drive more complex actions. In this paper we propose a new house modeling on- tology designed to fit real world domotic system capabilities and to support interoperation between currently available and future solutions. Taking advantage of technologies developed in the context of the Se- mantic Web, the DogOnt ontology supports device/network independent description of houses, including both “controllable” and architectural el- ements. States and functionalities are automatically associated to the modeled elements through proper inheritance mechanisms and by means of properly defined SWRL auto-completion rules which ease the mod- eling process, while automatic device recognition is achieved through classification reasoning.. }
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- 31 abstract "Home automation has recently gained a new momentum thanks to the ever-increasing commercial availability of domotic com- ponents. In this context, researchers are working to provide interopera- tion mechanisms and to add intelligence on top of them. For supporting intelligent behaviors, house modeling is an essential requirement to un- derstand current and future house states and to possibly drive more complex actions. In this paper we propose a new house modeling on- tology designed to fit real world domotic system capabilities and to support interoperation between currently available and future solutions. Taking advantage of technologies developed in the context of the Se- mantic Web, the DogOnt ontology supports device/network independent description of houses, including both “controllable” and architectural el- ements. States and functionalities are automatically associated to the modeled elements through proper inheritance mechanisms and by means of properly defined SWRL auto-completion rules which ease the mod- eling process, while automatic device recognition is achieved through classification reasoning.".