Uncertainty Extensions to Ontologies as a Tool for Semantic Interpretation in Audiovisual Systems

This paper deals with semantic interpretation of audiovisual data. It investigates how explicit interpretation of uncertainty can help to bridge the semantic gap. We present a case study of FuzzyOWL — a current uncertainty representation framework — applied in the context of the recent European project CARETAKER focusing on automated situation awareness, diagnosis and decision support. A particular user-oriented task is modelled in FuzzyOWL. The paper briefly summarizes basic features of the formalism, discusses pros and cons and points out difficulties and problems connected to its employment.