---
_id: '7068'
abstract:
- lang: eng
text: 'Adopting digital twin technologies in small andmedium-sized enterprises (SMEs)
is often hinderedby heterogeneous, poorly documented productiondata. Current semantic
type detection approachesrequire massive labeled datasets making themimpractical
for resource-constrained SMEs. Wepropose a zero-shot hybrid framework combiningpattern-based
classification with selective largelanguage model (LLM) reasoning formanufacturing-specific
data types. The two-stagearchitecture uses rule-based patterns for high-confidence
cases, forwarding ambiguous columnsto a multi-step LLM reasoner. Evaluation on
fourmanufacturing datasets shows the hybrid approachachieves weighted F1 within
7 24 percentagepoints of pure LLM classification performancewhile reducing LLM
invocations by 39% onaverage. Processing time decreased by up to 2.8×.Our framework
addresses a critical gap: automated,computationally efficient data type recognition
formanufacturing SMEs without requiring trainingdata, contributing to automated
simulation anddigital twin construction.'
author:
- first_name: Lina
full_name: Döring, Lina
id: '231689'
last_name: Döring
orcid: 0009-0000-3555-4183
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0000-3555-4183/work/221016189
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
- first_name: Pascal
full_name: Reusch, Pascal
id: '223271'
last_name: Reusch
citation:
alphadin: 'Döring, Lina ; Trojahn,
Sebastian ; Reusch, Pascal:
Smart data adapter: A hybrid pattern-LLM approach. In: Behrendt,
F. ; Zadek, H. ; Janmontree,
J. ; Trojahn, S. ; Lang, S. (Hrsg.): 19th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management :
Otto von Guericke University Library, Magdeburg, Germany, 2026'
ama: 'Döring L, Trojahn S, Reusch P. Smart data adapter: A hybrid pattern-LLM approach.
In: Behrendt F, Zadek H, Janmontree J, Trojahn S, Lang S, eds. 19th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management.
Otto von Guericke University Library, Magdeburg, Germany; 2026. doi:10.25673/123544'
apa: 'Döring, L., Trojahn, S., & Reusch, P. (2026). Smart data adapter: A hybrid
pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, &
S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management. Magdeburg: Otto von Guericke University
Library, Magdeburg, Germany. https://doi.org/10.25673/123544'
bibtex: '@inproceedings{Döring_Trojahn_Reusch_2026, title={Smart data adapter: A
hybrid pattern-LLM approach}, DOI={10.25673/123544},
booktitle={19th International Doctoral Students Workshop on Logistics, Supply
Chain and Production Management}, publisher={Otto von Guericke University Library,
Magdeburg, Germany}, author={Döring, Lina and Trojahn, Sebastian and Reusch, Pascal},
editor={Behrendt, Fabian and Zadek, Hartmut and Janmontree, Jettarat and Trojahn,
Sebastian and Lang, SebastianEditors}, year={2026} }'
chicago: 'Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter:
A Hybrid Pattern-LLM Approach.” In 19th International Doctoral Students Workshop
on Logistics, Supply Chain and Production Management, edited by Fabian Behrendt,
Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto
von Guericke University Library, Magdeburg, Germany, 2026. https://doi.org/10.25673/123544.'
ieee: 'L. Döring, S. Trojahn, and P. Reusch, “Smart data adapter: A hybrid pattern-LLM
approach,” in 19th International Doctoral Students Workshop on Logistics, Supply
Chain and Production Management, Magdeburg, 2026.'
mla: 'Döring, Lina, et al. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.”
19th International Doctoral Students Workshop on Logistics, Supply Chain and
Production Management, edited by Fabian Behrendt et al., Otto von Guericke
University Library, Magdeburg, Germany, 2026, doi:10.25673/123544.'
short: 'L. Döring, S. Trojahn, P. Reusch, in: F. Behrendt, H. Zadek, J. Janmontree,
S. Trojahn, S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Otto von Guericke University Library,
Magdeburg, Germany, 2026.'
conference:
end_date: 2026-06-16
location: Magdeburg
name: 19th International Doctoral Students Workshop on Logistics, Supply Chain and
Production Management
start_date: 2026-06-15
date_created: 2026-07-16T18:51:32Z
date_updated: 2026-07-20T08:11:01Z
department:
- _id: '103'
doi: 10.25673/123544
editor:
- first_name: Fabian
full_name: Behrendt, Fabian
last_name: Behrendt
- first_name: Hartmut
full_name: Zadek, Hartmut
last_name: Zadek
- first_name: Jettarat
full_name: Janmontree, Jettarat
last_name: Janmontree
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
- first_name: Sebastian
full_name: Lang, Sebastian
last_name: Lang
keyword:
- Semantic Data Type Detection
- DigitalTwin
- Manufacturing SMEs
- Zero-shot Learning
- Hybrid AI
- LLM
language:
- iso: eng
main_file_link:
- url: https://opendata.uni-halle.de/bitstream/1981185920/125478/1/DW16_Smart%20Data%20Adapter%20A%20Hybrid%20Pattern-LLM%20Approach.pdf
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 19th International Doctoral Students Workshop on Logistics, Supply Chain
and Production Management
publication_status: published
publisher: Otto von Guericke University Library, Magdeburg, Germany
quality_controlled: '1'
status: public
title: 'Smart data adapter: A hybrid pattern-LLM approach'
type: conference
user_id: '220548'
year: '2026'
...