A core idea of our approach is that the concrete mapping, from NLP results to knowledge base, is not part of the NLP pipeline itself: Rather, it is externalized in form of a set of mapping rules that are encoded in the knowledge base itself.
only by dynamically connecting an NLP pipeline to a knowledge base is the concrete mapping effected: The same pipeline can so be used to export different results, using different mapping rules, to multiple knowledge bases.