Resource-Aware Process Model Similarity Matching
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.
KeywordsProcess modeling Process model similarity Resource-aware process matching M:N-matching
The presented work is developed and used in the project “Kompetenzzentrum für praktisches Prozess- und Qualitätsmanagement”, which is funded by “Europäischer Fonds für regionale Entwicklung (EFRE)”.
The work of Michael Heinrich Baumann is supported by a scholarship of “Hanns-Seidel-Stiftung (HSS)” which is funded by “Bundesministerium für Bildung und Forschung (BMBF)”.
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