Ariana Metović

2026

1. Metovic, Ariana ; Maisch, Nicolai ; Ajdinovic, Samed ; Lechler, Armin ; Wortmann, Andreas ; Riedel, Oliver: Industrial Semantics-Aware Digital Twins: A Hybrid Graph Matching Approach for Asset Administration Shells. In: 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 2026, S. 1–6
   • Zusammenfassung
   • BibTeX
   • DOI

   Zusammenfassung

   Although the Asset Administration Shell (AAS) standard provides a structured and machine-readable representation of industrial assets, their semantic comparability remains a major challenge, particularly when different vocabularies and modeling practices are used. Engineering would benefit from retrieving existing AAS models that are similar to the target in order to reuse submodels, parameters, and metadata. In practice, however, heterogeneous vocabularies and divergent modeling conventions hinder automated, content-level comparison across AAS. This paper proposes a hybrid graph matching approach to enable semantics-aware comparison of Digital Twin representations. The method combines rule-based pre-filtering using SPARQL with embedding-based similarity calculation leveraging RDF2vec to capture both structural and semantic relationships between AAS models. This contribution provides a foundation for enhanced discovery, reuse, and automated configuration in Digital Twin networks.

   BibTeX

   @inproceedings{11366338, abstract = {Although the Asset Administration Shell (AAS) standard provides a structured and machine-readable representation of industrial assets, their semantic comparability remains a major challenge, particularly when different vocabularies and modeling practices are used. Engineering would benefit from retrieving existing AAS models that are similar to the target in order to reuse submodels, parameters, and metadata. In practice, however, heterogeneous vocabularies and divergent modeling conventions hinder automated, content-level comparison across AAS. This paper proposes a hybrid graph matching approach to enable semantics-aware comparison of Digital Twin representations. The method combines rule-based pre-filtering using SPARQL with embedding-based similarity calculation leveraging RDF2vec to capture both structural and semantic relationships between AAS models. This contribution provides a foundation for enhanced discovery, reuse, and automated configuration in Digital Twin networks.}, author = {Metovic, Ariana and Maisch, Nicolai and Ajdinovic, Samed and Lechler, Armin and Wortmann, Andreas and Riedel, Oliver}, booktitle = {2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)}, doi = {10.1109/CCNC65079.2026.11366338}, issn = {2331-9860}, month = {01}, pages = {1-6}, title = {Industrial Semantics-Aware Digital Twins: A Hybrid Graph Matching Approach for Asset Administration Shells}, year = 2026 }

   DOI

   10.1109/CCNC65079.2026.11366338