A unified context model: bringing probabilistic models to context ontology

Authors:
Binh An Truong;YoungKoo Lee;Sung Young Lee
Affiliations:
Department of Computer Engineering, KyungHee University, Gyeonggi-Do, Korea;Department of Computer Engineering, KyungHee University, Gyeonggi-Do, Korea;Department of Computer Engineering, KyungHee University, Gyeonggi-Do, Korea
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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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.