An Ontology-Based Context Model in a Smart Home

  • Eunhoe Kim
  • Jaeyoung Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3983)


This paper introduces an ontology-based context model in ubiquitous computing environment. We describe a Getting up scenario to show whether the model is valuable for description of context information in a home domain. We modeled context metadata as well as context information. Context metadata are defined for the use of additional context information such as probabilistic or fuzzy logic reasoning, rich understanding, or efficient context information collection. In addition we developed a context ontology server that manages and processes context information and metadata, and it is based on the ontology-based context model which is introduced in this paper. We used OWL (Web Ontology Language) for modeling the context, and extended the OWL language to represent context metadata.


Context Information Ubiquitous Computing Annotation Property Ubiquitous Computing Environment Context Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Dey, A.K., Abowd, G.D.: Towards a Better Understanding of Context and Context-Awareness. In: Workshop on The What, Who, Where, When, and How of Context-Awareness (CHI 2000), The Hague, The Netherlands (April 3, 2000)Google Scholar
  2. 2.
  3. 3.
    Henricksen, K., et al.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  4. 4.
    Bauer, J.: Identification and Modeling of Contexts for Different Information Scenarios in Air Traffic, Diplomarbeit (March 2003)Google Scholar
  5. 5.
    Henricksen, K., et al.: Generating Context Management Infrastructure from High-Level Context Models. In: MDM 2003 (January 2003)Google Scholar
  6. 6.
    Kappel, G., et al.: Customisation for Ubiquitous Web Applications - A Comparison of Approaches. International Journal of Web Engineering and Technology (IJWET), Inaugural 1 (2003)Google Scholar
  7. 7.
  8. 8.
    Wang, X., et al.: Ontology-Based Context Modeling and Reasoning using OWL. In: Workshop on Context Modeling and Reasoning at PerCom 2004, Orlando, Florida (2004)Google Scholar
  9. 9.
    Gruber, T.: A Translation Approach to Portable Ontology Specification. Knowledge Acquisition Journal 5, 199–220 (1993)CrossRefGoogle Scholar
  10. 10.
    Hightower, J., et al.: A Survey and Taxnomy of Location Systems for Ubiqutious Computing, Technical Report UW-CSE 01-08-03, University of Washinton (August 2001)Google Scholar
  11. 11.
    Yang, Y., Calmet, J.: OntoBayes: An Ontology-Driven Uncertainty Model. In: IAWTIC, Vienna (November 2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Eunhoe Kim
    • 1
  • Jaeyoung Choi
    • 1
  1. 1.School of ComputingSoongsil UniversitySeoulKorea

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