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  4. A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT (Journal First Presentation)
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A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT (Journal First Presentation)

Journal
International Conference on Enterprise Design, Operations, and Computing (EDOC)
Series
Journal First Presentations
Type
presentation
Date Issued
2026-09
Author(s)
Ronny Seiger  
;
Daniel Locher
;
Marco Kaufmann
;
Aaron Kurz  
Abstract
Modern Internet of Things (IoT) systems are equipped with a large quantity of sensors providing real-time data about the current operations of their components, which is crucial for the systems’ internal control systems and processes. However, these data are often too fine-grained to derive useful insights into the execution of the larger processes an IoT system might be part of. Process mining has developed advanced approaches for the analysis of business processes that may also be used in the context of IoT. Bringing process mining to IoT requires an event abstraction step to lift the low-level sensor data to the business process level. In this work, we aim to enable domain experts to perform this step using a newly developed domain-specific language (DSL) called Radiant. Radiant supports the specification of patterns within the sensor data that indicate the execution of higher level process activities. These patterns are translated to complex event processing (CEP) applications to be used for detecting activity executions at runtime. We propose a corresponding software architecture that enables online event abstraction from IoT sensor streams using the CEP applications. We evaluate these applications to monitor activity executions in smart manufacturing and smart healthcare. These evaluations are useful to inform the domain expert about the quality of activity detections based on the specified patterns and potential for improvement via additional or modified patterns and sensors.
Funding(s)
ProAmbitIon: Online Process Conformance Checking with Ambiguities Driven by the Internet of Things  
Language
English (United States)
Keywords
Internet of Things
Business Process Management
Activity Detection
Event Abstraction
Process Mining
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
30th International Conference on Enterprise Design, Operations, and Computing (EDOC 2026)
Event Location
Enschede, The Netherlands
Event Date
15 - 18 September, 2026
Official URL
https://conf.researchr.org/details/cbi-edoc-2026/cbi-edoc-2026-journal-first/1/A-Domain-specific-Language-and-Architecture-for-Detecting-Process-Activities-from-Sen
URL
https://alexandria.unisg.ch/handle/20.500.14171/136623
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

File(s)
Thumbnail Image
Name

edoc26_presentation.pdf

Size

2.41 MB

Format

Adobe PDF

Checksum (MD5)

20f2ef8275a95bbe19f635e16c33e2bc

Support
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