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.

[1]  John Strassner,et al.  Knowledge Engineering Using Ontologies , 2008 .

[2]  Scott Neumann,et al.  Use of the CIM Ontology , 2006 .

[3]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[4]  Dennis Heimbigner,et al.  DMTF-CIM to OWL : A Case Study in Ontology Conversion , 2005 .

[5]  Tam V. Nguyen,et al.  ISS: The Interactive Smart home Simulator , 2009, 2009 11th International Conference on Advanced Communication Technology.

[6]  Diego Calvanese,et al.  Using the CIM Conceptualization in Autonomic System Management : the System Management Ontology Project , 2003 .

[7]  Basil Hamed,et al.  Design & Implementation of Smart House Control Using LabVIEW , 2012 .

[8]  Ian Horrocks,et al.  Handbook of Knowledge Representation Edited Description Logics 3.1 Introduction , 2022 .

[9]  Hsu Chih-Jen,et al.  Telemedicine information monitoring system , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[10]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[11]  Franz Baader.  Description Logics , 2009, Reasoning Web.

[12]  Deborah L. McGuinness,et al.  OWL Web ontology language overview , 2004 .

[13]  Ling Liu,et al.  Encyclopedia of Database Systems , 2009, Encyclopedia of Database Systems.

[14]  Antonella Carbonaro,et al.  The semantic web vision , 2014 .

[15]  Jacek Kitowski,et al.  Translation of Common Information Model to Web Ontology Language , 2007, International Conference on Computational Science.

[16]  Sally Lehrman,et al.  Scientific American 10. , 2009, Scientific American.

[17]  Jeremy J. Carroll,et al.  Resource description framework (rdf) concepts and abstract syntax , 2003 .

[18]  Petr Jan Horn,et al.  Autonomic Computing: IBM's Perspective on the State of Information Technology , 2001 .

[19]  David Sinreich,et al.  An architectural blueprint for autonomic computing , 2006 .

[20]  N. Noury.  AILISA : experimental platforms to evaluate remote care and assistive technologies in gerontology , 2005, Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..