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Towards Multi-perspective Process Model Similarity Matching

Title data

Baumann, Michael Heinrich ; Baumann, Michaela ; Schönig, Stefan ; Jablonski, Stefan:
Towards Multi-perspective Process Model Similarity Matching.
In: Barjis, Joseph ; Pergl, Robert (Hrsg.): Enterprise and Organizational Modeling and Simulation. - Berlin [u.a.] : Springer , 2014 . - pp. 21-37 . - (Lecture Notes in Business Information Processing ; 191 )
ISBN 978-3-662-44860-1
DOI: https://doi.org/10.1007/978-3-662-44860-1_2

Project information

Project title:
Project's official titleProject's id
EFRE: Kompetenzzentrum für praktisches Prozess- und Qualitätsmanagement. HSS: Promotionsstipendium.No information

Project financing: Hanns-Seidel-Stiftung
Europäischer Fonds für regionale Entwicklung (EFRE).

Abstract in another language

Organizations increasingly determine process models to support documentation and redesign of workflows. In various situations correspondences between activities of different process models have to be found. The challenge is to find a similarity measure to identify similar activities in different process models. Current matching techniques predominantly consider lexical matching based on a comparison of activity labels and 1-to-1-matchings. However, label based matching probably fails, e.g., when modellers use different vocabulary or model activities at different levels of granularity. That is why we extend existing methods to compute candidate sets for N-to-M-matchings based on power-sets of nodes. Therefore, we impose higher demands on process models as we do not only consider labels, but also involved actors, data objects and the order of appearing. This information is used to identify similarities in process models that use different vocabulary and are modelled at different levels of granularity.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Business process model; Process similarity; Model matching
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 18 May 2015 13:24
Last Modified: 18 May 2015 13:24
URI: https://eref.uni-bayreuth.de/id/eprint/12847