Abstract
Mobile context-aware computing aims at providing services that are optimally adapted to the situation in which a given human actor is. An open problem is that not all mobile services need contextual information at the same level of abstraction, or care for all aspects of the user’s situation. It is therefore impossible to create a unique context model that is useful and valid for all possible mobile services. In this paper we present a compromise: a three-tiered context modeling architecture that offers high-level mobile services a certain freedom in choosing what contextual parameters they are interested in, and on what abstraction level. We believe the proposal offers context modeling power to a wide range of high-level mobile services, thus eliminating the need for each service to maintain complete context models (which would result in severe modeling redundancy if many services run in parallell). Each mobile service must only maintain those parts of the context model that are application-dependent and specific to the mobile service in question. We exemplify the use of the context model by discussing its application to a mobile learning system.
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
Costabile, M.F., De Angeli, A., Lanzilotti, R., Ardito, C., Buono, P., Pederson, T.: Explore! Possibilities and Challenges of Mobile Learning. In: Proceedings of CHI 2008 Conference on Human Factors in Computing Systems, pp. 145–154. ACM Press, New York (2008)
Dey, A.K., Salber, D., Abowd, G.D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction 16(2-4), 97–166 (2001)
Hong, D., Schmidtke, H.R., Woo, W.: Linking Context Modelling and Contextual Reasoning. In: Kofod-Petersen, A., Cassens, J., Leake, D.B., Schulz, S. (eds.) 4th International Workshop on Modeling and Reasoning in Context (MRC), pp. 37–48. Roskilde University (2007)
Schmidt, A.: Ubiquitous Computing – Computing in Context. Ph.D Thesis, Lancaster University (2002)
Weiser, M.: The Computer for the Twenty-First Century. Scientific American, pp. 94-10 (September 1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pederson, T., Ardito, C., Bottoni, P., Costabile, M.F. (2008). A General-Purpose Context Modeling Architecture for Adaptive Mobile Services. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-87991-6_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87990-9
Online ISBN: 978-3-540-87991-6
eBook Packages: Computer ScienceComputer Science (R0)