We present an application of formal concept analysis aimed at creating and representing a meaningful structure of knowledge communities under the form of a lattice-based taxonomy built upon groups of agents jointly manipulating some notions. The resulting structure is however usually extremely complex, hence uneasy to comprehend. We consider two approaches to build a concise representation respecting the original taxonomy, while hiding uninteresting and superfluous information, using both a pruning strategy based on the notion of concept stability and a representational improvement based on nested line diagrams. We illustrate the method with a small community of embryologists.
Camille Roth, Sergei A. Obiedkov, Derrick G. Kouri