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ProAmbitIon, reloaded: A two-year retrospection

Journal
Research Projects Exhibition @ CAiSE 2025
Type
conference contribution
Date Issued
2025-06
Author(s)
Marco Franceschetti  
;
Ronny Seiger  
;
García-Bañuelos, Luciano
;
Barbara Weber  
Abstract
The rapid digital transformation of business processes holds significant promise for enhancing process automation, analysis, and optimization. However, digital traces of real-world processes-particularly those involving human activities-are frequently incomplete, thereby constraining the capabilities for automated process analysis. With the ProAmbitIon project, we address this challenge by leveraging the Internet of Things (IoT) to bridge the gap between real-world process executions and their digital representations. First, by augmenting the process environment with sensors, we enable a fine-grained monitoring and contextualization of process activities. Next, by generating and enriching digital traces from and with IoT data, we enable online conformance checking without depending on traditional information systems. With the development of new approaches for IoT-driven process conformance checking, we also address the issue of ambiguities originating from process-related artifacts. The project is validated through real-world scenarios from healthcare and manufacturing. We report on the results and insights from the first two years of the project, and outline current work and next steps.
Funding(s)
ProAmbitIon: Online Process Conformance Checking with Ambiguities Driven by the Internet of Things  
Language
English (United States)
Keywords
Process Mining
Conformance Checking
Explainability
Internet of Things
Ambiguity in BPM
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
ceur-ws.org
Pages
8
Event Title
37th International Conference on Advanced Information Systems Engineering (CAiSE)
Event Location
Vienna, Austria
Event Date
June 16-20, 2025
Official URL
https://ceur-ws.org/Vol-4050/paper03.pdf
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/122870
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

File(s)
Thumbnail Image
Name

caise-rpe-18.pdf

Size

527.38 KB

Format

Adobe PDF

Checksum (MD5)

8493b05fde05adaf59ba3a966989e154

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