Abstract
Cyber-Physical Production Systems (CPPSs) have emerged as a cutting-edge manufacturing paradigm that aims to utilise innovative technological concepts like the Digital Twin and Artificial Intelligence to upgrade and optimise the productivity level of manufacturing environments. These concepts typically thrive on data and could be challenging to implement due to the semantic heterogeneity induced by the diverse manufacturing resources. Information modelling is a well-established approach traditionally used in software engineering to address semantic heterogeneity. Although the relevance of information modelling has already been established in CPPS, a suitable framework for information model development is not yet available. Therefore, our goal is to address this issue by proposing a domain-specific semantic information modelling framework for CPPS that enables the seamless integration of diverse manufacturing resources into intelligent business applications.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN) |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| Edition | 1 |
| ISBN (Electronic) | 979-8-3315-1121-0 |
| ISBN (Print) | 979-8-3315-1122-7 |
| DOIs | |
| Publication status | Published - 06 Jan 2026 |
| Event | 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN) - Kunming, China Duration: 12 Jul 2025 → 15 Jul 2025 |
Conference
| Conference | 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN) |
|---|---|
| Period | 12.07.2025 → 15.07.2025 |
Fields of science
- 202003 Automation
- 102022 Software development
- 202017 Embedded systems
- 202041 Computer engineering
- 102029 Practical computer science
- 102025 Distributed systems
- 102 Computer Sciences
JKU Focus areas
- Digital Transformation
Projects
- 1 Active
-
Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Researcher), Fadhlillah, H. (Researcher), Gutierrez, A. (Researcher), Kutsia, E. (Researcher), Sharma, S. (Researcher), Sonnleithner, L. (Researcher), Unterdechler, M. (Researcher), Rabiser, R. (PI) & Zoitl, A. (PI)
01.02.2021 → 31.01.2028
Project: Funded research › CDG - Christian Doppler Forschungsgesellschaft
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