How to make process model matching work better? An analysis of current similarity measures

F. Jabeen, H. Leopold, H.A. Reijers

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

    14 Citations (Scopus)
    122 Downloads (Pure)

    Abstract

    Process model matching techniques aim at automatically identifying activity correspondences between two process models that represent the same or similar behavior. By doing so, they provide essential input for many advanced process model analysis techniques such as process model search. Despite their importance, the performance of process model matching techniques is not yet convincing and several attempts to improve the performance have not been successful. This raises the question of whether it is really not possible to further improve the performance of process model matching techniques. In this paper, we aim to answer this question by conducting two consecutive analyses. First, we review existing process model matching techniques and give an overview of the specific technologies they use to identify similar activities. Second, we analyze the correspondences of the Process Model Matching Contest 2015 and reflect on the suitability of the identified technologies to identify the missing correspondences. As a result of these analyses, we present a list of three specific recommendations to improve the performance of process model matching techniques in the future.

    Original languageEnglish
    Title of host publicationBusiness Information Systems - 20th International Conference, BIS 2017, Proceedings
    PublisherSpringer
    Pages181-193
    Number of pages13
    Volume288
    ISBN (Print)9783319593357
    DOIs
    Publication statusPublished - 2017
    Event20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland - Poznan, Poland
    Duration: 28 Jun 201730 Jun 2017
    http://bis.ue.poznan.pl/bis2017/
    http://bis.kie.ue.poznan.pl/bis2017/

    Publication series

    NameLecture Notes in Business Information Processing
    Volume288
    ISSN (Print)1865-1348

    Conference

    Conference20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland
    Abbreviated titleBIS 2017
    CountryPoland
    CityPoznan
    Period28/06/1730/06/17
    Internet address

    Keywords

    • Activity similarity
    • Performance improvement
    • Process model matching
    • Weakness analysis

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