An approach to WF-nets generation using graph transformation system

Modern information systems produce enormous amounts of event log. The area of process mining deals with taking out knowledge from this data. Process mining provides mature theoretical and practical foundations for discovering processes from different kinds of event log. The main idea of process mining is to start from real event log and use these data to infer process models. The most important problem is lack of event log because many industries deny to publish their private data. This causes a serious obstacle for the reconstruction and developing more effective process mining algorithms. The main contribution of this research is generation of a variety of “Process Models” that could be used as a base for making event logs. The solution is based on GROOVE a graph transformation tool set, which allows creating and applying graph grammars.