We present an application of formal concept analysis aimed at representing a meaningful structure of knowledge communities in the form of a lattice-based taxonomy. The taxonomy groups together agents (community members) who develop a set of notions. If no constraints are imposed on how it is built, a knowledge community taxonomy may become extremely complex and difficult to analyze. We consider two approaches to building a concise representation respecting the underlying structural relationships, while hiding uninteresting and/or superfluous information: a pruning strategy based on the notion of concept stability and a representational improvement based on nested line diagrams and “zooming”. We illustrate the methods on two examples: a community of embryologists and a community of researchers in complex systems.