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Cooperative Building of Multi-Points of view Topic Maps with Hypertopic
In this paper, we present socio-semantic Web applications based on Hypertopic. Hypertopic is a knowledge representation model for co-constructing multi-viewpoints topic maps, expressing multiple actors points of view in communities. New approaches are required nowadays for to co-building large shared indexes and collective Knowledge Management artefacts. In particular, the co-building of socio-semantic Web applications requires the use of methods which can be finely adapted to the case of each focused Community. Organizational rules have to be chosen, depending on whether the semantic decision-making process takes place under centralized or distributed conditions: i.e., on whether it is a top-down, bottom-up (or mixed) process, whether (or not) a moderator or facilitator is involved, etc. Since 2002, several communities have been using Hypertopic-based groupware tools (such as Agoræ which was developed by the Tech-CICO Team) to co-build socio-semantic Web applications. In these experiments, many pragmatic methods have been used to bootstrap Hypertopic maps including multiple points of view. Three examples are presented showing how different co-building methods (top-down, bottom-up, mixed) can be used to construct such Hypertopic maps.
L'Hédi Zaher, Jean-Pierre Cahier, Claude Guittard