Predicting the quality of process model matching

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

doi:10.1007/978-3-642-40176-3_16

Predicting the quality of process model matching

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Business Process Management - 11th International Conference, BPM 2013, Proceedings
Pages	203-210
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-40176-3_16
State	Published - 2013
Externally published	Yes
Event	11th International Conference on Business Process Management, BPM 2013 - Beijing, China Duration: 26 Aug 2013 → 30 Aug 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8094 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Business Process Management, BPM 2013
Country/Territory	China
City	Beijing
Period	26/08/13 → 30/08/13

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-40176-3_16

Cite this

Weidlich, M., Sagi, T., Leopold, H., Gal, A., & Mendling, J. (2013). Predicting the quality of process model matching. In Business Process Management - 11th International Conference, BPM 2013, Proceedings (pp. 203-210). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8094 LNCS). https://doi.org/10.1007/978-3-642-40176-3_16

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title = "Predicting the quality of process model matching",

abstract = "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.",

author = "Matthias Weidlich and Tomer Sagi and Henrik Leopold and Avigdor Gal and Jan Mendling",

year = "2013",

doi = "10.1007/978-3-642-40176-3_16",

language = "English",

isbn = "9783642401756",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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note = "11th International Conference on Business Process Management, BPM 2013 ; Conference date: 26-08-2013 Through 30-08-2013",

}

Weidlich, M, Sagi, T, Leopold, H, Gal, A & Mendling, J 2013, Predicting the quality of process model matching. in Business Process Management - 11th International Conference, BPM 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8094 LNCS, pp. 203-210, 11th International Conference on Business Process Management, BPM 2013, Beijing, China, 26/08/13. https://doi.org/10.1007/978-3-642-40176-3_16

Predicting the quality of process model matching. / Weidlich, Matthias; Sagi, Tomer; Leopold, Henrik et al.
Business Process Management - 11th International Conference, BPM 2013, Proceedings. 2013. p. 203-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8094 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Predicting the quality of process model matching

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AU - Sagi, Tomer

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AU - Gal, Avigdor

AU - Mendling, Jan

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-642-40176-3_16

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SN - 9783642401756

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Weidlich M, Sagi T, Leopold H, Gal A, Mendling J. Predicting the quality of process model matching. In Business Process Management - 11th International Conference, BPM 2013, Proceedings. 2013. p. 203-210. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-40176-3_16

Predicting the quality of process model matching

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