mArtifact: an Artifact-driven Process Monitoring Platform

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

mArtifact: an Artifact-driven Process Monitoring Platform

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

Vienna University of Economics and Business Administration

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

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 language	English
Title of host publication	Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017
Editors	Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske
Publisher	CEUR-WS.org
Pages	1-5
Number of pages	5
Volume	1920
Publication status	Published - Sept 2017

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org

Keywords

Process monitoring
Artifact-centric processes
GSM

Access to Document

http://ceur-ws.org/Vol-1920/BPM_2017_paper_188.pdf

Cite this

Baresi, L., Di Ciccio, C., Mendling, J., Meroni, G., & Plebani, P. (2017). mArtifact: an Artifact-driven Process Monitoring Platform. In R. Clarisó, H. Leopold, J. Mendling, W. M. P. V. D. Aalst, A. Kumar, B. T. Pentland, & M. Weske (Eds.), Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017 (Vol. 1920, pp. 1-5). (CEUR Workshop Proceedings). CEUR-WS.org. http://ceur-ws.org/Vol-1920/BPM_2017_paper_188.pdf

Baresi, Luciano ; Di Ciccio, Claudio ; Mendling, Jan et al. / mArtifact: an Artifact-driven Process Monitoring Platform. Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017. editor / Robert Clarisó ; Henrik Leopold ; Jan Mendling ; Wil M. P. van der Aalst ; Akhil Kumar ; Brian T. Pentland ; Mathias Weske. Vol. 1920 CEUR-WS.org, 2017. pp. 1-5 (CEUR Workshop Proceedings).

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title = "mArtifact: an Artifact-driven Process Monitoring Platform",

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.",

keywords = "Process monitoring, Artifact-centric processes, GSM",

author = "Luciano Baresi and \{Di Ciccio\}, Claudio and Jan Mendling and Giovanni Meroni and Pierluigi Plebani",

year = "2017",

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volume = "1920",

series = "CEUR Workshop Proceedings",

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Baresi, L, Di Ciccio, C, Mendling, J, Meroni, G & Plebani, P 2017, mArtifact: an Artifact-driven Process Monitoring Platform. in R Clarisó, H Leopold, J Mendling, WMPVD Aalst, A Kumar, BT Pentland & M Weske (eds), Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017. vol. 1920, CEUR Workshop Proceedings, CEUR-WS.org, pp. 1-5. <http://ceur-ws.org/Vol-1920/BPM_2017_paper_188.pdf>

mArtifact: an Artifact-driven Process Monitoring Platform. / Baresi, Luciano; Di Ciccio, Claudio; Mendling, Jan et al.
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017. ed. / Robert Clarisó; Henrik Leopold; Jan Mendling; Wil M. P. van der Aalst; Akhil Kumar; Brian T. Pentland; Mathias Weske. Vol. 1920 CEUR-WS.org, 2017. p. 1-5 (CEUR Workshop Proceedings).

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

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N2 - 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.

AB - 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.

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A2 - Clarisó, Robert

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Baresi L, Di Ciccio C, Mendling J, Meroni G, Plebani P. mArtifact: an Artifact-driven Process Monitoring Platform. In Clarisó R, Leopold H, Mendling J, Aalst WMPVD, Kumar A, Pentland BT, Weske M, editors, Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017. Vol. 1920. CEUR-WS.org. 2017. p. 1-5. (CEUR Workshop Proceedings).

mArtifact: an Artifact-driven Process Monitoring Platform

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