Vers une catégorisation visuelle facilitant le partage de connaissances en mode Web 2.0

Efficient categorization is supposed to smooth knowledge sharing and information searching in communities by providing well-structured tags. Whereas, more and more issue on languages and diverse shared themes is being confronted to create such collaborative categorization. In this paper, an iconic system will be introduced which aims to improve textual categorization in the context of multi-contributors (in the mode of Web2.0). This system is visually coherent with an explicitly organized graphical landmark ". Our approach will be as well illustrated by an in-progress application of site Defismed, where plenty of contributors of scientific projects participate.