Generation of Natural Language Texts from Process Models

Abstract

Process models are widely used for documenting and redesigning the operations of companies. The audience of these models ranges from well-trained system analysts and developers to casual staff members who are unexperienced in terms of modeling. Hence, most of the latter lack the ability to understand process model in detail. This is a particular problem as this impedes the usage of process models to the desired extent. In this chapter, we investigate in how far the concept of natural language generation can be adapted to process models in order to provide all staff members with a understandable process description. To this end, we define an approach which automatically transforms BPMN process models into understandable natural language texts.