Resource-Aware Process Model Similarity Matching

• Published in: Service-Oriented Computing - ICSOC 2014 Workshops pp. 96 - 107
• Main Authors: Baumann, Michaela, Baumann, Michael Heinrich, Schönig, Stefan, Jablonski, Stefan
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: M:N-matching; Process model similarity; Process modeling; Resource-aware process matching
• ISBN: 3319228846; 9783319228846
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-22885-3_9

As business process models are widely used and essential for most organizations, the problem of redundantly modeled processes rises. This can happen when a process is modeled by different modelers or when organizations merge. In order to cope with this issue, typically process model similarity matching methods are used. Thereby, pure textual matching algorithms operating on single activities are often not suitable. One alternative is to include further information like data and resources and to check for M:N-matchings. The work at hand describes how to use resource information to match process models, even if they are modeled on different levels of granularity. The approach can be used for both human and non-human resources. Furthermore, the differences between intra- and inter-organizational matchings are pointed out.