After a first step of building and completing the core of the platform architecture in order to have a strong basis, now we are able to concentrate on the development of new processes based on CartAGen, and we can see that it offers new ranges of technical possibilities. The imported processes allow performing generalisation on many cases, but other treatments could be considered to solve new original issues. The future improvements then consists in : (1) importing new models and algorithms to open perspectives, e.g. the el astic beams for network generalisation [Bader 2001]; (2) improving past results to enhance generalisation level, e.g. the achievement of a perfect urban generalisation; (3) integrating the concept of collaborative generalisation [Touya & al. 2010]; (4) deploying CartAGen as generalisation web services [Edwardes & al. 2007]. With such components, CartAGen progressively becomes a complete platform to solve a wide set of generalisation problems with a high quality level.
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