Abstract
Ontology is a promising tool to model and reason about context information 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. © IFIP International Federation for Information Processing 2005.
Cite
CITATION STYLE
Truong, B. A., Lee, Y., & Lee, S. Y. (2005). A unified context model: Bringing probabilistic models to context ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3823 LNCS, pp. 566–575). https://doi.org/10.1007/11596042_59
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