@inproceedings{C35-P-22194,

title = {A Reference Model for Adaptive Visualization Systems},

author = {Kawa Nazemi and Christian Stab and Arjan Kuijper},

editor = {Julie A. Jacko},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21602-2_52, Springer Link},

doi = {10.1007/978-3-642-21602-2_52},

isbn = {978-3-642-21601-5},

year  = {2011},

date = {2011-01-01},

booktitle = {Human-Computer Interaction. Design and Development Approaches. HCI 2011. },

pages = {480-489},

publisher = {Springer, Berlin, Heidelberg},

series = {LNCS 6761},

abstract = {One 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 ädaptive visualization cockpit" covering different visualization metaphors concludes the paper.},

keywords = {Adaptive information visualization, Ontology visualization, Reference models},

pubstate = {published},

tppubtype = {inproceedings}

}