Record link: 
http://hdl.handle.net/20.500.12708/230384
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Title: 
A Model Cleansing Pipeline for Model-Driven Engineering: Mitigating the Garbage In, Garbage Out Problem for Open Model Repositories – (Extended Abstract)
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Citation: 
Djelic, A., Ali, S. J., Verbruggen, C. R. R., Neidhardt, J., & Bork, D. (2026). A Model Cleansing Pipeline for Model-Driven Engineering: Mitigating the Garbage In, Garbage Out Problem for Open Model Repositories – (Extended Abstract). In Modellierung 2026 - Complete Volume (pp. 149–149). https://doi.org/10.18420/modellierung2026-12
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Publisher DOI: 
10.18420/modellierung2026-12
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Djelic, Andjela 
Ali, Syed Juned 
Verbruggen, Charlotte Roos R. 
Neidhardt, Julia 
Bork, Dominik 
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Organisational Unit: 
E194-03 - Forschungsbereich Business Informatics 
E194-04 - Forschungsbereich Data Science 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
E056-27 - Fachbereich Digital Humanism 
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Published in: 
Modellierung 2026 - Complete Volume 
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DOI of the book: 
10.18420/modellierung2026-17
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Date (published): 
2026
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Event name: 
Modellierung 2026 
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Event date: 
9-Mar-2026 - 12-Mar-2026
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Event place: 
Bayreuth, Germany
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Number of Pages: 
1
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Peer reviewed: 
Yes
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Keywords: 
Model-driven engineering; Model repositories; Open models; Machine learning; Data cleansing; UML
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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