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Business & Information Systems Engineering

08.02.2024 | Research Paper

An Expert-Validated Bridging Model for IoT Process Mining

verfasst von: Yannis Bertrand, Jochen De Weerdt, Estefanía Serral

Erschienen in: Business & Information Systems Engineering

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Abstract

Contextualization is an important challenge in process mining. While Internet of Things (IoT) devices are collecting increasing amounts of data on the physical context in which business processes are executed, the IoT and process mining fields are still considerably disintegrated. Important concepts such as event or context are not understood in the same way, which causes confusion and hinders cooperation between the two domains. Accordingly, in the paper, a consolidated model to bridge the conceptualization gap between the IoT and process mining fields, based on IoT ontologies and business process context models, is presented. This consolidation based on an initial model was obtained after an extensive validation both with an expert panel and with case studies. The results of the expert survey show that the model properly describes the links between the IoT and process mining and that it has added value for IoT process mining. Furthermore, the model was refined according to the experts’ feedback. Accordingly, the paper’s key contribution consists of a common reference model that can instigate true interdisciplinary research connecting IoT and process mining.

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Titel: An Expert-Validated Bridging Model for IoT Process Mining
verfasst von: Yannis Bertrand
Jochen De Weerdt
Estefanía Serral
Publikationsdatum: 08.02.2024
Verlag: Springer Fachmedien Wiesbaden
Erschienen in: Business & Information Systems Engineering
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI: https://doi.org/10.1007/s12599-023-00849-0

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