Quotation Meroni, Giovanni, Di Ciccio, Claudio, Mendling, Jan. 2017. Artifact-driven Process Monitoring: Dynamically Binding Real-world Objects to Running Processes. In Proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017, June 12-16, 2017, Hrsg. Xavier Franch, Jolita Ralyté, Raimundas Matulevicius, Camille Salinesi, Roel Wieringa, 105-112. Essen, Germany: CEUR WS.


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Abstract

Monitoring inter-organizational business processes requires explicit knowledge about when activities start and complete. This is a challenge because no single system controls the process, activities might not be directly recorded, and the overall course of execution might only be determined at runtime. In this paper, we address these problems by integrating process monitoring with sensor data from real-world objects. We formalize our approach using the E-GSM artifact-centric language. Since the association between real-world objects and process instances is often only determined at runtime, our approach also caters for dynamic binding and unbinding at runtime.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Artifact-driven Process Monitoring: Dynamically Binding Real-world Objects to Running Processes
Title of whole publication Proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017, June 12-16, 2017
Editor Xavier Franch, Jolita Ralyté, Raimundas Matulevicius, Camille Salinesi, Roel Wieringa
Page from 105
Page to 112
Location Essen, Germany
Publisher CEUR WS
Year 2017
URL http://ceur-ws.org/Vol-1848/CAiSE2017_Forum_Paper14.pdf

Associations

People
Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
External
Meroni, Giovanni (Politecnico di Milano, Italy)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1112 Logistics (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
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