A Recommender System for Business Process Models
Institute of Computer Science, Database and Information Systems group
affiliation not provided to SSRN
February 9, 2009
17th Annual Workshop on Information Technologies & Systems (WITS)
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: 6Accepted Paper Series
Date posted: February 10, 2009
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