Abstract
Inconsistent contexts are death-wounds which usually result in context-aware applications’ incongruous behaviors and users’ perplexed feelings, therefore the benefits of context-aware computing will become less believed. This problem occurs in most sensor based applications due to the intrinsic drawbacks of fallible physical sensors which can only detect some evidence of real world’s situations rather than global views of them. In this paper, we extend ontology based context modeling approach with some descriptive information added to contexts, modify reasoners to support time information, bring in a context lifecycle management strategy, establish a context exploitation mechanism, and propose an inconsistency resolution algorithm, fostering timely, exact and conflict-free contexts. Besides, evaluations and a case study are carried out to attest our design principles.
This work is funded by NSFC (60233010, 60273034, 60403014), 973 Program of China (2002CB312002), 863 Program of China (2005AA113160) and NSF of Jiangsu Province (BK2002203, BK2002409).
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Bu, Y., Chen, S., Li, J., Tao, X., Lu, J. (2006). Context Consistency Management Using Ontology Based Model. In: Grust, T., et al. Current Trends in Database Technology – EDBT 2006. EDBT 2006. Lecture Notes in Computer Science, vol 4254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11896548_56
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DOI: https://doi.org/10.1007/11896548_56
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