Evaluation of automatic indexing is a common practice. Whenever new algorithms are created to generate semantic structures, it is necessary for their designers to demonstrate how better they are in the particular context for which they have been developed. However, the evaluation depends on the availability of a result of reference. Should such a reference be missing, evaluation is replaced by confrontation. There the structures themselves have to be compared instead of shared metrics, sometimes without even the option to choose the best one. Our work takes place in this context. We present a method for human-driven confrontation of specialized semantic structures. Our aim is to improve the user’s ability to use another person’s work to enhance his.