Predicting the quality of process model matching

Matthias Weidlich, Tomer Sagi, Henrik Leopold, Avigdor Gal, Jan Mendling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Process model matching refers to the task of creating correspondences among activities of different process models. This task is crucial whenever comparison and alignment of process models are called for. In recent years, there have been a few attempts to tackle process model matching. Yet, evaluating the obtained sets of correspondences reveals high variability in the results. Addressing this issue, we propose a method for predicting the quality of results derived by process model matchers. As such, prediction serves as a case-by-case decision making tool in estimating the amount of trust one should put into automatic matching. This paper proposes a model of prediction for process matching based on both process properties and preliminary match results.

Original languageEnglish
Title of host publicationBusiness Process Management - 11th International Conference, BPM 2013, Proceedings
Number of pages8
StatePublished - 2013
Externally publishedYes
Event11th International Conference on Business Process Management, BPM 2013 - Beijing, China
Duration: 26 Aug 201330 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8094 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International Conference on Business Process Management, BPM 2013

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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