The Process Matching Contest 2015

Goncalo Antunes; Marzieh Bakhshandelh; Jose Borbinha; Joao Cardoso; Sharam Dadashnia; Chiara De Francescomarino; Mauro Gragoni; Peter Fettke; Avigdor Gal; Chiara Ghidini; Philip Hake; Abderrahmene Khiat; Christopher Klinkmüller; Elena Kuss; Henrik Leopold; Peter Loos; Christian Meilicke; Tim Niesen; Catia Pesquita; Timo Peus; Andreas Schoknecht; Eitam Sheetrit; Andreas Sonntag; Heiner Stickenschmidt; Tom Thaler; Ingo Weber; Matthias Weidlich

In: Jens Kolb; Henrik Leopold; Jan Mendling (Hrsg.). Proceedings of the 6th International Workshop on Enterprise Modelling and Information Systems Architectures. International Workshop on Enterprise Modelling and Information Systems Architectures (EMISA-15), September 3-4, Innsbruck, Austria, ISBN 9783885796428, Köllen Druck+Verlag GmbH, Bonn, 9/2015.


Process model matching refers to the automatic identification of correspondences between the activities of process models. Application scenarios of process model matching reach from model validation over harmonization of process variants to effective management of process model collections. Recognizing this, several process model matching techniques have been developed in recent years. However, to learn about specific strengths and weaknesses of these techniques, a common evaluation basis is indispensable. The second edition of the Process Model Matching Contest in 2015 hence addresses the need for effective evaluation by defining process model matching problems over published data sets. This paper summarizes the setup and the results of the contest. Next to a description of the contest matching problems, the paper provides short descriptions of all matching techniques that have been submitted for participation. In addition, we present and discuss the evaluation results and outline directions for future work in the field of process model matching.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence