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

Data, Process and Knowledge Management (Sabou)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

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.

Originalsprache	Englisch
Titel des Sammelwerks	Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.
Herausgeber*innen	Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske
Erscheinungsort	Barcelona, Spain
Verlag	CEUR Workshop Proceedings
Seiten	1 - 5
Publikationsstatus	Veröffentlicht - 2017

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

102022 Softwareentwicklung
102
102001 Artificial Intelligence
502
502050 Wirtschaftsinformatik

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Katalog der Universitätsbibliothek

Andere Dateien und Links

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

RISE_BPM
Di Ciccio, C. (Forscher*in) & Mendling, J. (Forscher*in)
1/05/15 → 30/04/19
Projekt: Forschung

Zitat

Baresi, L., Di Ciccio, C., Mendling, J., Meroni, G., & Plebani, P. (2017). mArtifact: an Artifact-driven Process Monitoring Platform. in Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske (Hrsg.), Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017. (S. 1 - 5). CEUR Workshop Proceedings.

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), September 13, 2017.. Hrsg. / Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske. Barcelona, Spain : CEUR Workshop Proceedings, 2017. S. 1 - 5

@inproceedings{eb5c9d440ffa44f5980f2ef492ac37f2,

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.",

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

year = "2017",

language = "English",

pages = "1 -- 5",

editor = "{Robert Claris{\'o}, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske}",

booktitle = "Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.",

publisher = "CEUR Workshop Proceedings",

}

Baresi, L, Di Ciccio, C, Mendling, J, Meroni, G & Plebani, P 2017, mArtifact: an Artifact-driven Process Monitoring Platform. in Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske (Hrsg.), Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.. CEUR Workshop Proceedings, Barcelona, Spain, S. 1 - 5.

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), September 13, 2017.. Hrsg. / Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske. Barcelona, Spain: CEUR Workshop Proceedings, 2017. S. 1 - 5.

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - mArtifact: an Artifact-driven Process Monitoring Platform

AU - Baresi, Luciano

AU - Di Ciccio, Claudio

AU - Mendling, Jan

AU - Meroni, Giovanni

AU - Plebani, Pierluigi

PY - 2017

Y1 - 2017

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.

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

M3 - Contribution to conference proceedings

SP - 1

EP - 5

BT - Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.

A2 - Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske, null

PB - CEUR Workshop Proceedings

CY - Barcelona, Spain

ER -

Baresi L, Di Ciccio C, Mendling J, Meroni G, Plebani P. mArtifact: an Artifact-driven Process Monitoring Platform. in Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske, Hrsg., Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.. Barcelona, Spain: CEUR Workshop Proceedings. 2017. S. 1 - 5

mArtifact: an Artifact-driven Process Monitoring Platform

Abstract

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

Verfügbarkeit prüfen

Andere Dateien und Links

Projekte

RISE_BPM

Zitat