mArtifact: an Artifact-driven Process Monitoring Platform

Luciano Baresi, Claudio Di Ciccio, Jan Mendling, Giovanni Meroni, Pierluigi Plebani

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

Traditionally, human intervention is required to monitor a business process. Operators notify when manual activities are executed, and manually restart the monitoring whenever the process is not executed as expected. This paper presents mArtifact, an artifact-driven process monitoring platform. mArtifact uses the E-GSM artifact-centric language to represent the process. This way, when a violation occurs, it can flag the affected activities without halting the monitoring. By predicating on the conditions of the physical artifacts participating in a process, mArtifact autonomously detects when activities are executed and constraints are violated. The audience is expected to be familiar with business process monitoring and artifact-centric modeling languages.
Original languageEnglish
Title of host publicationProceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.
Editors Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske
Place of PublicationBarcelona, Spain
PublisherCEUR Workshop Proceedings
Pages1 - 5
Publication statusPublished - 2017

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 102
  • 102001 Artificial intelligence
  • 502
  • 502050 Business informatics

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