TY - JOUR
T1 - DataStream XES Extension
T2 - Embedding IoT Sensor Data into Extensible Event Stream Logs
AU - Mangler, Juergen
AU - Grüger, Joscha
AU - Malburg, Lukas
AU - Ehrendorfer, Matthias
AU - Bertrand, Yannis
AU - Benzin, Janik Vasily
AU - Rinderle-Ma, Stefanie
AU - Serral Asensio, Estefania
AU - Bergmann, Ralph
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/3
Y1 - 2023/3
N2 - The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes in the environment and the humans involved in the processes. These sensors produce large amounts of discrete and continuous data streams, which hold the key to understanding the quality of the executed processes. However, to enable this understanding, it is needed to have a joint representation of the data generated by the process engine executing the process, and the data generated by the IoT sensors. In this paper, we present an extension of the event log standard format XES called DataStream. DataStream enables the connection of IoT data to process events, preserving the full context required for data analysis, even when scenarios or hardware artifacts are rapidly changing. The DataStream extension is designed based on a set of goals and evaluated by creating two datasets for real-world scenarios from the transportation/logistics and manufacturing domains.
AB - The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes in the environment and the humans involved in the processes. These sensors produce large amounts of discrete and continuous data streams, which hold the key to understanding the quality of the executed processes. However, to enable this understanding, it is needed to have a joint representation of the data generated by the process engine executing the process, and the data generated by the IoT sensors. In this paper, we present an extension of the event log standard format XES called DataStream. DataStream enables the connection of IoT data to process events, preserving the full context required for data analysis, even when scenarios or hardware artifacts are rapidly changing. The DataStream extension is designed based on a set of goals and evaluated by creating two datasets for real-world scenarios from the transportation/logistics and manufacturing domains.
KW - Industry 4.0
KW - IoT data
KW - XES
KW - process management
KW - process mining
UR - http://www.scopus.com/inward/record.url?scp=85150969196&partnerID=8YFLogxK
U2 - 10.3390/fi15030109
DO - 10.3390/fi15030109
M3 - Article
AN - SCOPUS:85150969196
SN - 1999-5903
VL - 15
JO - Future Internet
JF - Future Internet
IS - 3
M1 - 109
ER -