| Item Type |
Conference or Workshop Item
(unspecified)
|
| Abstract |
The Internet of Things (IoT) enables software-based access to vast amounts of data streams from sensors measuring physical and virtual properties of smart devices and their surroundings. While
sophisticated means for the control and data analysis of single IoT devices exist, a more process-oriented view of IoT systems is often missing. Such a lack of process awareness hinders the development of process-based systems on top of IoT environments and the application of process mining techniques for process analysis and optimization in IoT. We propose a framework for the stepwise correlation and composition of raw IoT sensor streams with events and activities on a process level based on Complex Event Processing (CEP). From this correlation we derive refined process event logs–possibly with ambiguities–that can be used for process analysis at runtime (i. e., online). We discuss the framework using examples from a smart factory. |
| Authors |
Seiger, Ronny; Zerbato, Francesca; Burattin, Andrea; García-Bañuelos, Luciano & Weber, Barbara |
| Language |
English |
| Subjects |
computer science |
| HSG Classification |
contribution to scientific community |
| HSG Profile Area |
None |
| Refereed |
Yes |
| Date |
September 2020 |
| Volume |
2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW) |
| Page Range |
20-26 |
| Number of Pages |
7 |
| Publisher DOI |
https://doi.org/10.1109/EDOCW49879.2020.00016 |
| Depositing User |
Prof. Dr. Ronny Seiger
|
| Date Deposited |
06 Oct 2020 14:32 |
| Last Modified |
20 Jul 2022 17:43 |
| URI: |
https://www.alexandria.unisg.ch/publications/261140 |
Towards IoT-Driven Process Event Log Generation for Conformance Checking in Smart Factories
