Semantic based Modeling, Selfcomposition, and Selfconfiguration of Reference Processes (SEMPRO²)

In order to be able to react to market changes, companies have to rapidly adapt existing and develop new processes. Today's approaches in the field of (reference) process modeling do mostly not satisfy these requirements. This is due to the fact that in general the design and the revision of process models are performed manually, a circumstance that induces much effort and high costs. In this second phase of funding, we build on the results of the first SEMPRO phase and intend to enhance the so far developed concepts of a (partially) automated planning of process models using semantic technologies and ontologies. For strengthening the emerging field of "Semantic Process Management", we pursue the following objectives:

• the partially automated adaptation of process models as well as the deduction of enterprise-specific models based on reference process models,
• the partially automated design and adaptation of process models considering managerial/economic objectives (e.g., costs) and compliance restrictions (e.g., predefined upper limit of process risk), and
• the managerial/economic analysis of using semantic concepts in combination with (reference) process modeling.

Our overarching research objective is to advance the transition to flexible processes and hence to create a basis for companies to design and adapt processes faster and at lower costs.