Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866908984840028160 |
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| author | Heussen, Kai Kazmi, Jawad Mehran, Narges Obushevs, Artjoms O'Donnell, Terence Strasser, Thomas I. |
| author_facet | Heussen, Kai Kazmi, Jawad Mehran, Narges Obushevs, Artjoms O'Donnell, Terence Strasser, Thomas I. |
| contents | Reproducibility, traceability, and transparency in testing cyber-physical energy systems are crucial for scientific advancement and cross-laboratory collaboration. Current experimentation and test documentation practices lack formal semantics, making it difficult to reproduce experiments, share data, and apply, for example, the artificial intelligence-driven analysis. A dataspace that relies on structured ontologies aims to address these gaps by providing machine-actionable descriptions. In this work, we outline an ontology-driven approach for reproducibility of cyber-physical energy systems testing and illustrate its applicability through representative cross-laboratory use cases, demonstrating feasibility while identifying remaining semantic and metadata gaps that limit reproducibility. Based on these observations, we propose an open three-viewpoint ontology framework to guide future ontology extensions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_19686 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces Heussen, Kai Kazmi, Jawad Mehran, Narges Obushevs, Artjoms O'Donnell, Terence Strasser, Thomas I. Systems and Control Reproducibility, traceability, and transparency in testing cyber-physical energy systems are crucial for scientific advancement and cross-laboratory collaboration. Current experimentation and test documentation practices lack formal semantics, making it difficult to reproduce experiments, share data, and apply, for example, the artificial intelligence-driven analysis. A dataspace that relies on structured ontologies aims to address these gaps by providing machine-actionable descriptions. In this work, we outline an ontology-driven approach for reproducibility of cyber-physical energy systems testing and illustrate its applicability through representative cross-laboratory use cases, demonstrating feasibility while identifying remaining semantic and metadata gaps that limit reproducibility. Based on these observations, we propose an open three-viewpoint ontology framework to guide future ontology extensions. |
| title | Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2604.19686 |