Semantic Comparison of Asset Administration Shells

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Torben Miny - , RWTH Aachen University (Author)
  • Sebastian Heppner - , RWTH Aachen University (Author)
  • Igor Garmaev - , RWTH Aachen University (Author)
  • Marko Ristin - , Nazarbayev University (Author)
  • Björn Otto - , Otto von Guericke University Magdeburg (Author)
  • Nico Braunisch - , Chair of Industrial Communications (Author)
  • Tobias Kleinert - , RWTH Aachen University (Author)
  • Hans Wernher Van De Venn - , Zurich University of Applied Sciences (ZHAW) (Author)
  • Martin Wollschlaeger - , Chair of Industrial Communications (Author)

Abstract

This paper presents a novel approach for the semantic comparison of Asset Administration Shells (AAS), i.e., digital twins within the context of Industry 4.0. As digital twins gain importance in optimizing industrial processes, ensuring interoperability and accurate versioning of AAS becomes critical. We propose a method that focuses on object model-level comparisons rather than mere syntactic differences, enabling a more meaningful assessment of semantic equivalence. Our findings highlight the challenges associated with traditional comparison methods and suggest a comprehensive framework for enhancing AAS versioning and integrity verification.

Details

Original languageEnglish
Title of host publication2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation, ETFA 2025 - Proceedings
EditorsLuis Almeida, Marina Indria, Mario de Sousa, Antonio Visioli, Mohammad Ashjaei, Pedro Santos
PublisherIEEE Canada
Pages1-8
Number of pages8
ISBN (electronic)9798331553838
ISBN (print)979-8-3315-5384-5
Publication statusPublished - 12 Sept 2025
Peer-reviewedYes

Publication series

SeriesInternational Conference on Emerging Technologies and Factory Automation (ETFA)
ISSN1946-0740

Conference

Title30th IEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA 2025
Conference number30
Duration9 - 12 September 2025
Website
Degree of recognitionInternational event
LocationUniversity of Porto
CityPorto
CountryPortugal

External IDs

ORCID /0000-0002-4646-4455/work/195440762
ORCID /0009-0000-2432-5529/work/195441104
Scopus 105021838256

Keywords

Keywords

  • Accuracy, Digital twins, Fourth Industrial Revolution, Interoperability, Manufacturing automation, Semantics, Syntactics, Asset Administration Shell, Canonicalization, Comparison, Hashing, Normalization