Nazemi, KawaKawaNazemiStab, ChristianChristianStabKuijper, ArjanArjanKuijper2022-03-112022-03-112011https://publica.fraunhofer.de/handle/publica/37195210.1007/978-3-642-21602-2_52One key issue of both Information Visualization as well as Adaptive User Interfaces is information overload. While both disciplines have already devised well performing algorithms, methods and applications, a real merging has not taken place yet. Only a few attempts bring the surplus values of both disciplines together, whereas a fine-grained investigation of visualization parameterization is not investigated. Today's systems focus either on the adaptation of visualization types or the parameterization of visualizations. This paper presents a reference Model for Adaptive Visualization Systems (MAVS) that allows the adaptation of both the visualization type and the visualization parameterization. Based on this model, a framework for the adaptive visualization of semantics data will be derived. A use case describing the interaction with an "adaptive visualization cockpit" covering different visualization metaphors concludes the paper.enAdaptive visualizationinformation visualizationontology visualizationreference model006conference paper