Abstract
Ontology is a promising tool to model and reason about context in-formation in pervasive computing environment. However, ontology does not support representation and reasoning about uncertainty. Besides, the underlying rule-based reasoning mechanism of current context-aware systems obviously can not reason about ambiguity and vagueness in context information. In this paper, we present an ongoing research on context modeling which follows the ontology-based approach while supports representation and reasoning about uncertain context. This unified context model then is used as a framework in our implementation of the context management and reasoning module of our context-aware middleware for ubiquitous systems.
This work is partially supported by Korea Science and Engineering Foundation (KOSEF).
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Truong, B.A., Lee, Y., Lee, S.Y. (2005). A Unified Context Model: Bringing Probabilistic Models to Context Ontology. In: Enokido, T., Yan, L., Xiao, B., Kim, D., Dai, Y., Yang, L.T. (eds) Embedded and Ubiquitous Computing – EUC 2005 Workshops. EUC 2005. Lecture Notes in Computer Science, vol 3823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596042_59
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DOI: https://doi.org/10.1007/11596042_59
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