Modeling uncertainty in context-aware computing

Binh An Truong, Young-Koo Lee, Sung-Young Lee
2005 Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05)  
Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this paper, we propose a novel approach to model the uncertain context. Our context model is a combination of two modeling methods: probabilistic models for capturing the uncertain information and ontology for facilitating knowledge reuse and sharing. Such combination of probabilistic models and ontology facilitates the sharing
more » ... and reuse over similar domains of not only the logical knowledge but also the uncertain knowledge. Besides, we also support the uncertain reasoning in context-aware applications in a flexible and adaptive manner.
doi:10.1109/icis.2005.89 dblp:conf/ACISicis/TruongLL05 fatcat:lnsznleav5deddjwgjbaorgbxa