ProAmbitIon: Online Process Conformance Checking with Ambiguities Driven by the Internet of Things
Journal
CAiSE 2023
Series
Research Projects Exhibition
ISSN
1612-0073
Type
conference contribution
Date Issued
2023-06
Author(s)
;
;
Mauricio Jacobo González González
;
Enrique Garcia-Ceja
;
Luis Armando Rodríguez Flores
;
Luciano García-Bañuelos
;
Editor(s)
Jaime Font
Lorena Arcega
José-Fabián Reyes-Román
Giovanni Giachetti
Abstract
The ongoing digitization of processes in everyday life shows great potential for process automation, analysis, and optimization. However, digital traces of processes in the physical world, especially those involving human interactions, are often incomplete. This limits the possibilities for an automated process monitoring and analysis. ProAmbitIon proposes to use the Internet of Things (IoT) to bridge the gap between physical world process executions and their digital traces. In this project we leverage software-controlled sensors and actuators to enable a fine-grained monitoring and contextualization of process activities. Digital traces of executed processes can be created from and enriched with IoT data, and used for conformance checking to detect deviations-even at runtime and without relying on a Business Process Management System (BPMS). In developing new approaches for IoT-driven process conformance checking, we also address the issue of potential ambiguities originating from 1) informal process descriptions and 2) the lack of process-related data in IoT data. The project is conducted using real-world scenarios from smart healthcare and smart manufacturing.
Language
English
Keywords
Process Mining
Conformance Checking
Explainability
Internet of Things
Ambiguous Process Models
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
CEUR-WS.org
Volume
Vol-3413
Pages
8
Event Title
35th International Conference on Advanced Information Systems Engineering (CAiSE 2023)
Event Location
Zaragoza, Spain
Event Date
June 12-16, 2023
Official URL
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
paper8.pdf
Size
870.3 KB
Format
Adobe PDF
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