Abstract
The technologies underpinning smart homes offer promising solutions in the realm of assistive living. At present, there are a number of smart home applications being developed with a raft of technologies that provide fragments of the necessary functionality. Nevertheless, there is currently a major gap between these endeavours and the vision of smart homes in which there are adaptive, personalised and context-aware assistance capabilities. To bridge this divide between practice and aspiration, this Chapter introduces semantic smart homes – a novel concept whose aim is to move from the current state-of-the-art of smart home technologies to the future infrastructure that is needed to support the full richness of the smart home vision. We present a conceptual system architecture for semantic smart homes and elaborate functions and explore the interplay of constituent components. The Chapter focuses predominantly on the methodology of semantic modelling, content generation and management. We illustrate the potential of the semantic smart homes metaphor through a number of use scenarios.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Center for Future Health, University of Rochester, Smart Medical Home Research Laboratory, June 12 (2007), http://www.futurehealth.rochester.edu/smart_home
MIT Department if Architecture, House_n The PlaceLab, June 12 (2007), http://architecture.mit.edu/house_n/placelab.html
Georgia Institute of Technology, The Aware Home, June 12 (2007), http://www.cc.gatech.edu/fce/ahri/
Dittmar, A., Axisa, F., Delhomme, G., Gehin, C.: New concepts and technologies in home care and ambulatory monitoring. In: Lymberis, A., de Rossi, D. (eds.) Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges, pp. 9–35. IOS Press, Amsterdam (2004)
Helal, S., Mann, W., El-Zabadani, H., King, J., Kaddoura, Y., Jansen, E.: The gator tech smart house: a programmable pervasive space. IEEE Computer, 64–74 (2005)
Alive Technologies, http://www.alivetec.com
PhMon Personal Health Monitoring System with Microsystem Sensor Technology, http://www.phmon.de/englisch/index.html
OSGi – The dynamic module system for Java, http://ww.osgi.org
Konnex – Open standard for home and building control, http://ww.konnex.org
Philipose, M., Fishkin, K.P., Perkowitz, M., Patterson, D.J., Fox, D., Kautz, H., Hahnel, D.: Inferring activities from interactions with objects. IEEE Pervasive Computing, 50–57 (2004)
Bouchard, B., Giroux, S., Bouzouane, A.: A logical approach to ADL recognition foralzheimer’s patients. In: Proc. of the 4th International Conference on Smart Homes and Health Telematic (ICOST 2006), pp. 1–8 (2006)
Hong, X., Nugent, C.D., Mulvenna, M., McClean, S., Scotney, B., Devlin, S.: Evidential fusion of sensor data for activity recognition in smart homes. Pervasive and Mobile Computing (in press) (2008)
Davies, J., Studer, R., Warren, P.: Semantic Web Technologies: Trends and Research in Ontology-based Systems. Wiley, Chichester (2006)
Pollack, M.: Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment. AI Magazine 26(2), 9–24 (2005)
Staab, S., Studer, R.: Handbook on Ontologies (International Handbooks on Information Systems). Springer, Heidelberg (2004)
Davies, J., Fensel, D., van Harmelen, F.: Towards the Semantic Web: Ontology-Driven Knowledge Management. Wiley, Chichester (2003)
Strang, T., Linnhoff-Popien, C., Frank, K.: CoOL: A Context Ontology Language to Enable Contextual Interoperability. In: Stefani, J.-B., Demeure, I., Hagimont, D. (eds.) DAIS 2003. LNCS, vol. 2893, pp. 236–247. Springer, Heidelberg (2003)
Chen, H., Finin, T., Joshi, A.: An Ontology for Context-Aware Pervasive Computing Environments. Special Issue on Ontologies for Distributed Systems, Knowledge Engineering Review (2003)
Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An Ontology-based Context Model in Intelligent Environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, San Diego, California, USA (2004)
Preuveneers, D., Van den Bergh, J., Wagelaar, D., Georges, A., Rigole, P., Clerckx, T., Berbers, Y., Coninx, K., Jonckers, V., De Bosschere, K.: Towards an extensible context ontology for ambient intelligence. In: Markopoulos, P., Eggen, B., Aarts, E., Crowley, J.L. (eds.) EUSAI 2004. LNCS, vol. 3295, pp. 148–159. Springer, Heidelberg (2004)
Roussaki, I., Strimpakou, M., Pils, C., Kalatzis, N., Anagnostou, M.: Hybrid context modelling: A location-based scheme using ontologies. In: Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW 2006) (2006)
Latfi, F., Lefebvre, B., Descheneaux, C.: Ontology-Based Management of the Telehealth Smart Home, Dedicated to Elderly in Loss of Cognitive Autonomy. In: Proceedings of the OWLED 2007 Workshop on OWL: Experiences and Directions (2007), http://www.webont.org/owled/2007/PapersPDF/submission_37.pdf
Klein, M., Schmidt, A., Lauer, R.: Ontology-Centred Design of an Ambient Middleware for Assisted Living: The Case of SOPRANO. In: Proceeding of Towards Ambient Intelligence: Methods for Cooperating Ensembles in Ubiquitous Environments (AIM-CU), 30th Annual German Conference on Artificial Intelligence (KI 2007), Osnabrück (2007)
The EU SOPRANO IP project, http://www.soprano-ip.org/
The EU ASK-IT IP project, http://www.ask-it.org/
The EU SAPHIRE project, http://www.srdc.metu.edu.tr/webpage/projects/saphire/index.php
Chinnici, R., Gudgin, M., Moreau, J., Weerawarana, S.: Web Services Description Language (WSDL) 1.2, W3C Working Draft, July 9 (2002), http://www.w3.org/TR/wsdl12/
Johnston, W.: Semantic Services for Grid-Based, Large-Scale Science. IEEE Intelligent Systems 19(1), 34–39 (2004)
The Protégé, http://protege.stanford.edu/
The time ontology in OWL, http://www.w3.org/TR/owl-time/
Horrocks, I., Li, L., Turi, D., Bechhofer, S.: The instance store: DL reasoning with large numbers of individuals. In: Proc. 2004 Description Logic Workshop, pp. 31–40 (2004)
Harris, S., Gibbins, N.: 3store: Efficient Bulk RDF Storage. In: Proc. 1st International Workshop on Practical and Scalable Semantic Systems (PSSS 2003), pp. 1–15 (2003)
Nugent, C.D., Finlay, D.D., Davies, R.J., Mulvenna, M.D., Wallace, J.G., Paggetti, C., Tamburini, E., Black, N.D.: The next generation of mobile medication management solutions. International Journal of Electronic Healthcare 3(1), 7–31 (2007)
Horrocks, I., Sattler, U., Tobies, S.: Practical reasoning for expressive description logics. In: Ganzinger, H., McAllester, D., Voronkov, A. (eds.) LPAR 1999. LNCS, vol. 1705, pp. 161–180. Springer, Heidelberg (1999)
Haarslev, V., Möller, R.: Racer: A Core Inference Engine for the Semantic Web. In: Proc. 2nd International Workshop on Evaluation of Ontology-based Tools (EON2003), ISWC 2003, pp. 27-36 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Chen, L., Nugent, C., Mulvenna, M., Finlay, D., Hong, X. (2009). Semantic Smart Homes: Towards Knowledge Rich Assisted Living Environments. In: McClean, S., Millard, P., El-Darzi, E., Nugent, C. (eds) Intelligent Patient Management. Studies in Computational Intelligence, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00179-6_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-00179-6_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00178-9
Online ISBN: 978-3-642-00179-6
eBook Packages: EngineeringEngineering (R0)