activity
20202025
most citedAccessing and Interpreting OPC UA Event Traces based on Semantic Process Descriptions

9 citations · 16 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.AI2025

Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL

Tom Westermann, Aljosha Köcher, Felix Gehlhoff

AutomationML (AML) enables standardized data exchange in engineering, yet existing recommendations for proper AML modeling are typically formulated as informal and textual constrai…

cs.AI2025

Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation

Tom Westermann, Malte Ramonat, Johannes Hujer +2

AutomationML has seen widespread adoption as an open data exchange format in the automation domain. It is an open and vendor neutral standard based on the extensible markup languag…

cs.AI2024★ 1 cited

Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance

Milapji Singh Gill, Tom Westermann, Gernot Steindl +2

In the following contribution, a method is introduced that integrates domain expert-centric ontology design with the Cross-Industry Standard Process for Data Mining (CRISP-DM). Thi…

cs.AI2023

Representing Timed Automata and Timing Anomalies of Cyber-Physical Production Systems in Knowledge Graphs

Tom Westermann, Milapji Singh Gill, Alexander Fay

Model-Based Anomaly Detection has been a successful approach to identify deviations from the expected behavior of Cyber-Physical Production Systems. Since manual creation of these…

cs.AI2023★ 6 cited

Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems

Milapji Singh Gill, Tom Westermann, Marvin Schieseck +1

In the age of Industry 4.0 and Cyber-Physical Production Systems (CPPSs) vast amounts of potentially valuable data are being generated. Methods from Machine Learning (ML) and Data…

cs.AI2022★ 9 cited

Accessing and Interpreting OPC UA Event Traces based on Semantic Process Descriptions

Tom Westermann, Nemanja Hranisavljevic, Alexander Fay

The analysis of event data from production systems is the basis for many applications associated with Industry 4.0. However, heterogeneous and disjoint data is common in this domai…