Abstract
In our days, the development of computing technologies has facilitated the daily life since the environment is improved by its different applications. Pervasive computing is one of the most efficient computing areas which offer several smart systems aiming to provide various significant services in our life. Context awareness, in general and context-aware adaptation in particular, is a central aspect of pervasive computing systems, characterizing their ability to adapt and perform tasks based on context. In this paper, we describe our proposal ontology and rules-based model for representing and reasoning on useful contextual information. This model permits to provide appropriate services in ubiquitous healthcare systems which are one of the main application areas for pervasive computing that allow monitoring the health and wellbeing of patients anytime and anywhere.
This is a preview of subscription content, log in via an institution to check access.
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
Catarinucci, L., Colella, R., Esposito, A., Tarricone, L., Zappatore, M.: Rfid sensor-tags feeding a context-aware rule-based healthcare monitoring system. Journal of Medical Systems, 3435–3449 (2012)
Fensel, D.: Ontologies: A silver bullet for knowledge management and electronic commerce, Berlin (2001)
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)
Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: Swrl: A semantic web rule language combining owl and ruleml. W3C Member Submission (2004)
Kim, J., Chung, K.: Ontology-based healthcare context information model to implement ubiquitous environment. Springer US (2011)
Ko, E.J., Lee, H.J., Lee, J.W.: Ontology-based context-aware service engine for u-healthcare. In: The 8th International Conference on Advanced Communication Technology, ICACT 2006, vol. 1, pp. 632–637 (2006)
Smith, M., Welty, C., McGuinness, D.: Owl web ontology language guide, http://www.w3.org/TR/owl-guide/ (last access: February 2014)
Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: The Sixth International Conference on Ubiquitous Computing, England (2004)
Thomas, J.: Protégé, http://protegewiki.stanford.edu/wiki/Main_Page (last access: February 2014)
W3C: Inference, http://www.w3.org/standards/semanticweb/inference (last access: February 2014)
W3C: Pellet, http://www.w3.org/2001/sw/wiki/Pellet (last access: February 2014)
Weiser, M.: The computer of the twenty-first century. Scientific American, 94–100 (1991)
Zeshan, F., Mohamad, R.: Medical ontology in the dynamic healthcare environment. Elsevier Ltd. (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
HameurLaine, A., Abdelaziz, K., Roose, P., Kholladi, MK. (2015). Ontology and Rules-Based Model to Reason on Useful Contextual Information for Providing Appropriate Services in U-Healthcare Systems. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds) Intelligent Distributed Computing VIII. Studies in Computational Intelligence, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-10422-5_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10421-8
Online ISBN: 978-3-319-10422-5
eBook Packages: EngineeringEngineering (R0)