Probabilistic Optimization of Semantic Process Model Matching

H. Leopold, M. Niepert, M. Weidlich, J. Mendling, R.M. Dijkman, H. Stuckenschmidt

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademic

63 Citaten (Scopus)


Business process models are increasingly used by companies, often yielding repositories of several thousand models. These models are of great value for business analysis such as service identification or process standardization. A problem is though that many of these analyses require the pairwise comparison of process models, which is hardly feasible to do manually given an extensive number of models. While the computation of similarity between a pair of process models has been intensively studied in recent years, there is a notable gap on automatically matching activities of two process models. In this paper, we develop an approach based on semantic techniques and probabilistic optimization. We evaluate our approach using a sample of admission processes from different universities.
Originele taal-2Engels
TitelBusiness process management : proceedings of the 10th international conference on business process management (BPM)
RedacteurenA. Barros, A. Gal, E. Kindler
Plaats van productieTallinn, Estonia
ISBN van geprinte versie978-3-642-32884-8
StatusGepubliceerd - 2012
Evenement10th International Conference on Business Process Management (BPM 2012) - Tallinn, Estland
Duur: 3 sep. 20126 sep. 2012
Congresnummer: 10

Publicatie series

NaamLecture Notes in Computer Science
ISSN van geprinte versie0302-9743


Congres10th International Conference on Business Process Management (BPM 2012)
Verkorte titelBPM 2012
Ander10th International Conference on Business Process Management (BPM 2012)


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