TURAMBAR: An Approach to Deal with Uncertainty in Semantic Environments

Abstract

Research community has shown a great interest in OWL ontologies as a context modeling tool for semantic environments. OWL ontologies are characterized by its expressive power and are based on description logics. However, they have limitations when dealing with uncertainty and vagueness knowledge. To overcome these caveats, some approaches have been proposed. This work presents a novel approach to deal with uncertainty in semantic environments, called TURAMBAR.