A Recommender System for Business Process Models

Abstract:     
Process modeling facilitates understanding and restructuring of activities used to achieve business goals. However, manual process modeling is time-consuming and error-prone. In this paper, we describe a recommender system that suggests a list of correct and fitting process fragments for an edited business process model, which can be used to complete the process model being edited. The recommender system supports the user during the process modeling phase and reduces the number of structural modeling errors.

Number of Pages in PDF File: 6

Accepted Paper Series