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Modeling uncertainty in context-aware computing
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
doi:10.1109/icis.2005.89
dblp:conf/ACISicis/TruongLL05
fatcat:lnsznleav5deddjwgjbaorgbxa