This paper presents a scheme for the dynamic generation of context rules which are useful for modifying the behaviour of mobile devices according to the social and physical settings of their users. Existing context-aware systems employ a pool of predefined rules which will be executed whenever a context of interest is sensed and captured. Defining rules at design time, however, has the following limitations: (1) The system designer should identify the set of context primitives which describe a context of interest as accurately as possible; (2) the various states of each context primitive should be predetermined and mapped to sensory data, which often requires experience or expertise; (3) the availability of mechanisms for capturing the context primitives is presupposed; if instead of the specified context primitives other context primitives are discovered, which may equally describe a similar situation, the system does not react to them, unless of course, all possible alternatives are foreseen; and (4) the desired behaviour itself may not be a priori known, as it is specific to the user. To facilitate a flexible use of context rules, they should be generated dynamically. The scheme proposed in this paper associates decision events – signifying the activities of a user – with a set of context primitives which are acquired at the time the decision events are produced. From the decision-context associations, context rules are generated. The Context-Aware E-Pad will be introduced to illustrate the scheme proposed.


Dynamic Generation Decision Event Event Handler Existential Quantifier Rule Organiser 
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.
    Dourish, P.: What we talk about when we talk about context. Personal Ubiquitous Comp. 8(1), 19–30 (2004)CrossRefGoogle Scholar
  2. 2.
    Dargie, W., Loeffler, T., Droegehor, O., David, K.: Composition of Reusable Higher-Level Contexts. In: Proceedings of the 14th Mobile and Wireless Communication Summit, IST, Dresden, Germany (June 2005)Google Scholar
  3. 3.
    Dargie, W., Loeffler, T., Droegehor, O., David, K.: Architecture for Higher-Level Context Composition. In: Proceedings of the Workshop on Context-Aware Proactive Services (CAPS 2005), Helsinki (June 2005)Google Scholar
  4. 4.
    Mäntyjärvi, J., Seppänen, T.: Adapting Applications in Handheld Devices Using Fuzzy Context Information. Interacting with Computers J. 15(4), 521–538 (2003)CrossRefzbMATHGoogle Scholar
  5. 5.
    Wang, X., Dong, J.S., Chin, C., Hettiarachchi, S., Zhang, D.: Semantic Space: An Infrastructure for Smart Spaces. IEEE Pervasive Computing 3(3), 32–39 (2004)CrossRefGoogle Scholar
  6. 6.
    Gu, T., Pung, H.K., Zhang, D.Q.: Toward an OSGi-Based Infrastructure for Context-Aware Applications. IEEE Pervasive Computing 3(4), 66–74 (2004)CrossRefGoogle Scholar
  7. 7.
    Schmidt, A., Beigl, M., Gellersen, H.-W.: There is more to context than location. Computers and Graphics 23(6), 893–901 (1999)CrossRefGoogle Scholar
  8. 8.
    Forgy, C.L.: Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence 19(1), 17–37 (1982)CrossRefGoogle Scholar
  9. 9.
    Chakravarthy, S., Krishnaprasad, V., Anwar, E., Kim, S.: Composite Events for Active Databases: Semantics, Contexts and Detection. In: Proceedings of the 20th international Conference on Very Large Data Bases, September 12 - 15 (1994)Google Scholar
  10. 10.
    Dargie, W., Hamann, T.: A Distributed Architecture for Reasoning about a Higher-Level Context. In: Proceedings of the 2nd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2006). IEEE Press, Los Alamitos (to appear, 2006) Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Waltenegus Dargie
    • 1
  1. 1.Department of Computer Networks, Faculty of Computer ScienceDresden University of TechnologyDresdenGermany

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