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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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Authors and Affiliations
Department of Computer Engineering, KyungHee University, Giheung-Eup, Yongin-Si, Gyeonggi-Do, 449-701, Korea
Binh An Truong, YoungKoo Lee & Sung Young Lee
- Binh An Truong
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- YoungKoo Lee
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- Sung Young Lee
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Editors and Affiliations
Rissho University, Japan
Tomoya Enokido
School of Computer Science, University of Hertfordshire, College Lane, AL10 9AB, Hatfield, Hertfordshire, UK
Lu Yan
Department of Computing, Hong Kong Polytechnic University, Hong Kong
Bin Xiao
Empas Corporation, Republic of Korea
Daeyoung Kim
Department of Computer and Information Science, Indiana University, Purdue University, IN 46202, Indianapolis, USA
Yuanshun Dai
Department of Computer Science, St. Francis Xavier University, Antigonish, Canada
Laurence T. Yang
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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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