Modelling and Managing Ambiguous Context in Intelligent Environments


To achieve a more robust and flexible context data management, it is important to take into account aspects usually neglected, like the uncertainty and vagueness of the context data. By considering this information it is possible to attain a more precise picture of the environment, thus leading to a more accurate inference process. To achieve these goals we present an ontology that models the ambiguity in intelligent environments and a data fusion and inference process that takes advantage of that extra information to provide better results.