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U-Health Smart system architecture and ontology model

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Abstract

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.

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References

  1. Berners-Lee T (2000) The Semantic Web Vision. Keynote session at XML

  2. Noury N (2005) AILISA: Experimental platforms to evaluate remote care and assistive technologies in gerontology. HEALTHCOM 2005(23–25):67–72

    Google Scholar 

  3. Noury N, Rumeau P (2006) Ambient multi-perceptive system for residential health monitoring based on electromic mailings. HEALTHCOM 2006(17–19):95–100

    Google Scholar 

  4. Hsu C-J, Yii-Tay C, Cheng-Lii C, Jlng-Huei H, Jone-Chiung (2008) Telemedicine information monitoring system. HEALTHCOM

  5. UbiSense project. http://www.doc.ic.ac.uk/vip/ubisense/home/home.html

  6. IBM Corporation (2005) An architectural blueprint for autonomic computing. http://www.ginkgo-networks.com/IMG/pdf/AC_Blueprint_White_Paper_V7.pdf

  7. Gruber T (2008) “Ontology”, Encyclopedia of Database Systems. In: Liu LL, Tamer Özsu M (eds) Springer, Berlin

  8. OWL Web Ontology Language Overview. http://www.w3.org/TR/owl-features/

  9. Berners-Lee T, Hendler J, Lassila O (2001) The Semantic Web. Scientific American

  10. SWRL: a semantic web rule language combining OWL and RuleML. http://www.w3.org/Submission/SWRL/

  11. Protégé. http://protege.stanford.edu/

  12. Strassner J Knowledge engineering using ontologies. In: Handbook of Network and System Administration, chapter 3, section 4, pp 425–457

  13. Common Information Model Standard. http://www.dmtf.org/standards/cim/

  14. Resource Description Framework(RDF): Concepts and Abstract Syntax. http://www.w3.org/TR/rdf-concepts/

  15. IBM research (2003) The Vision of Autonomic Computing

  16. Horn P (2001) Autonomic computing: IBM‘s perspective on the state of information technology. IBM Corp. http://www.research.ibm.com/autonomic/research/papers/AC_Vision_Computer_Jan_2003.pdf

  17. Owl, API. http://owlapi.sourceforge.net/

  18. Pellet: OWL 2 Reasoner for Java. http://clarkparsia.com/pellet

  19. Neumann S, Devos A, Widergren S, Britton J (2006) User of the CIM ontology. Distridutech

  20. Berardi D, Calvanese D, De Giacomo G, Santucci G, Perrone A, Vetere G (2003) Using the CIM conceptualization in autonomic system management the system management ontology project. DSOM 2003, Heidelberg

  21. Heimbigner D (2004) DMTF-CIM to OWL: a case study in ontology conversion. SEKE2004, Canada, pp 470–474

  22. Marta M, Bartosz K, Jacek K (2007) Translation of common information model to web ontology language. Lecture Notes in Computer Science, Volume 4487, pp 414–417

  23. CIMTool Project. http://cimtool.org/

  24. CodeBlue project. http://fiji.eecs.harvard.edu/CodeBlue

  25. Duke Smart Home Program. http://www.smarthome.duke.edu/index.php

  26. Franz B (2009) Description Logics. Lecture Notes in Computer Science vol 5689, pp 1–39

  27. Hamed B (2012) Design and implementation of smart house control using LabVIEW. Int J Soft Comput Eng 1(6):98–106

  28. LabVIEW. http://www.ni.com/labview/

  29. Vam Nhuyen T, Kim JG, Choi DJ (2009) ISS: the interactive smart home simulator. Adv Commun Technol Korea 03:1828–1833

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Correspondence to Sang Oh Park.

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Kim, J., Park, S.O. U-Health Smart system architecture and ontology model. J Supercomput 71, 2121–2137 (2015). https://doi.org/10.1007/s11227-014-1334-3

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  • DOI: https://doi.org/10.1007/s11227-014-1334-3

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