Synonyms
Life-span (in part); Space-span (in part)
Definition
A context is a collection of semantic dimensions within which the event occurs. These dimensions may include: temporal context, spatial context, state-related context and reference-related context.
Key Points
Event processing is being done within context, which means that an event is interpreted differently in different contexts, and may trigger different actions in different contexts, or be irrelevant in certain context. In the event processing network, each agents operates within a single context. While the term context has been associated with the spatial dimension, in event processing it is most strongly associated with the temporal dimension.
Each context-dimension may be specified either explicitly, or by using higher level abstractions.
Examples are:
Temporal context:
Explicit: Everyday between 8 AM and 5 PM EST.
Implicit: From sunrise to sunset.
Mixed: Within 2 h from admission to the hospital.
Spatial context:
Explic...
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Recommended Reading
Adi A, Biger A, Botzer D, Etzion O, Sommer Z. Context awareness in Amit. In: Proceedings of the 5th Annual Workshop on Active Middleware Services; 2003. p. 160–7.
Barghouti NS, Krishnamurthy B. Using event contexts and matching constraints to monitor software processes. In: Proceedings of the 17th International Conference on Software Engineering; 1995. p. 83–92.
Buvac S. Quantificational logic of context. In: Proceedings of the 10th National Conference on AI; 1996. p. 600–6.
Hong C, Lee K, Suh Y, Kim H, Kim H, Lee H. Developing context-aware system using the conceptual context model. In: Proceedings of the 6th IEEE International Conference on Information Technology; 2006. p. 238.
Rakotonirainy A, Indulska J, Loke SW, Zaslavsky A. Middleware for reactive components: an integrated use of context, roles, and event based coordination. In: Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms; 2001. p. 77–98.
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Etzion, O. (2018). Context. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_583
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DOI: https://doi.org/10.1007/978-1-4614-8265-9_583
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