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ontology and the associated knowledge base can be used to automatically select
relevant techniques from the description of the data to display and from a set of
specific criteria, taking into account the compatibility or incompatibility between
techniques.
In the near future we will continue to populate the knowledge base of visualization
techniques, with the aim to make it a useful tool for the 3D GIS community. We will
also propose a test environment in which the users will be able to try several visuali-
zation techniques on their own datasets and 3D scenes.
Acknowledgments The work described in this chapter is part of the research “Designing and
evaluating 3D knowledge visualization techniques for urban planning” funded by the swiss
“Secrétariat d'état à la recherche” (SER No C10.0150) in relation with the COST Action TU0801
“Semantic enrichment of 3D city models for sustainable urban development”.
The model used for illustrating some visualization techniques relates to Carouge city
(Switzerland) and has been provided by the Service de la mensuration officielle de l'Etat de
Genève (SEMO).
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