A Habit-Based SWRL Generation and Reasoning Approach in Smart Home

In this paper, we propose a habit-based SWRL generation and reasoning approach in smart home. Definition and recognition of habits of daily living can provide humanized smart home for assisted living application, especially for people with memory deficits. This paper presents Recognizing Habit of Daily Living(RHDL) by discovering and monitoring smart home context information. The habit and habit association of using electrical appliances are defined explicitly for the first time. The generation rules between habit/complex habit and SWRL are designed, and the reasoning is based on the Semantic Web Rule Language(SWRL). The ontology model for the RHDL is designed and the prototype system of RHDL is implemented using protege and Jess tools.