Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866914043610005504 |
|---|---|
| author | Westermann, Tom Ramonat, Malte Hujer, Johannes Gehlhoff, Felix Fay, Alexander |
| author_facet | Westermann, Tom Ramonat, Malte Hujer, Johannes Gehlhoff, Felix Fay, Alexander |
| contents | 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 language XML. However, AutomationML extends XML with additional semantics that limit the applicability of common XML-tools for applications like querying or data validation. This article demonstrates how the transformation of AutomationML into OWL enables new use cases in querying with SPARQL and validation with SHACL. To support this, it provides practitioners with (1) an up-to-date ontology of the concepts defined in the AutomationML standard and (2) a declarative mapping to automatically transform any AutomationML model into RDF triples. A study on examples from the automation domain concludes that transforming AutomationML to OWL opens up new powerful ways for querying and validation that would have been impossible without this transformation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21694 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation Westermann, Tom Ramonat, Malte Hujer, Johannes Gehlhoff, Felix Fay, Alexander Artificial Intelligence 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 language XML. However, AutomationML extends XML with additional semantics that limit the applicability of common XML-tools for applications like querying or data validation. This article demonstrates how the transformation of AutomationML into OWL enables new use cases in querying with SPARQL and validation with SHACL. To support this, it provides practitioners with (1) an up-to-date ontology of the concepts defined in the AutomationML standard and (2) a declarative mapping to automatically transform any AutomationML model into RDF triples. A study on examples from the automation domain concludes that transforming AutomationML to OWL opens up new powerful ways for querying and validation that would have been impossible without this transformation. |
| title | Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2504.21694 |