U-Health Smart system architecture and ontology model

Two primary concerns for our aging society are preserving good health and avoiding disease. A Smart Home system is one efficient and capable way to find the solution of this complex problem. But, there are several reasons which building a Sma6rt Home is complex. First, it is difficult to accurately track the behavior of the elderly in house, because each person has unique needs and behavior. And also, the system cannot know whether a given behavior is normal or not. Second, medical symptoms are very complex. Third, to get the information in the house, there should be various technologies which use different protocols, data, languages and specifications. In order to solve them, this research which is a part of POSTECH U-Health Smart Home project, was started. This paper makes two significant contributions to the Smart Home Project and autonomic system fields. The first contribution is general architecture for the U-Health Smart Home project through Smart Home at POSTECH. The requirements what kinds of parts are needed to build the Smart Home are introduced and proposed in this paper. The second contribution is a semantic model which can be used by an autonomic system to make accurate and intelligent decisions. To create the appropriate model, various semantic technologies, which use OWL as the programming language, Protégé which version is 3.4.2 as a tool for ontology creation and SWRL as a language for reasoning, were used. Furthermore, for reasonable ontology, open standard CIM version 2.22 is defined and published by DMTF was used as an entire framework.