[{"year":"2026","type":"conference","doi":"10.25673/123544","publisher":"Otto von Guericke University Library, Magdeburg, Germany","conference":{"start_date":"2026-06-15","end_date":"2026-06-16","location":"Magdeburg","name":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management"},"keyword":["Semantic Data Type Detection","DigitalTwin","Manufacturing SMEs","Zero-shot Learning","Hybrid AI","LLM"],"project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"title":"Smart data adapter: A hybrid pattern-LLM approach","quality_controlled":"1","status":"public","publication":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","date_updated":"2026-07-20T08:11:01Z","date_created":"2026-07-16T18:51:32Z","publication_status":"published","user_id":"220548","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."}],"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"}],"_id":"7068","citation":{"apa":"Döring, L., Trojahn, S., &#38; Reusch, P. (2026). Smart data adapter: A hybrid pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, &#38; S. Lang (Eds.), <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. <a href=\"https://doi.org/10.25673/123544\">https://doi.org/10.25673/123544</a>","chicago":"Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” In <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Fabian Behrendt, Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto von Guericke University Library, Magdeburg, Germany, 2026. <a href=\"https://doi.org/10.25673/123544\">https://doi.org/10.25673/123544</a>.","bibtex":"@inproceedings{Döring_Trojahn_Reusch_2026, title={Smart data adapter: A hybrid pattern-LLM approach}, DOI={<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>}, 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} }","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. <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Otto von Guericke University Library, Magdeburg, Germany; 2026. doi:<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>","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.","alphadin":"<span style=\"font-variant:small-caps;\">Döring, Lina</span> ; <span style=\"font-variant:small-caps;\">Trojahn, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Reusch, Pascal</span>: Smart data adapter: A hybrid pattern-LLM approach. In: <span style=\"font-variant:small-caps;\">Behrendt, F.</span> ; <span style=\"font-variant:small-caps;\">Zadek, H.</span> ; <span style=\"font-variant:small-caps;\">Janmontree, J.</span> ; <span style=\"font-variant:small-caps;\">Trojahn, S.</span> ; <span style=\"font-variant:small-caps;\">Lang, S.</span> (Hrsg.): <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i> : Otto von Guericke University Library, Magdeburg, Germany, 2026","ieee":"L. Döring, S. Trojahn, and P. 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Reusch, in: Otto von Guericke University Library, Magdeburg, Germany (Ed.), 18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, Magdeburg, 2025.","ama":"Döring L, Trojahn S, Reusch P. Partial Twin – Pragmatic Digital Twin Adoption for SMEs. In: Otto von Guericke University Library, Magdeburg, Germany, ed. <i>18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Vol 18. 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Magdeburg: Otto von Guericke University Library, Magdeburg, Germany, 2025. <a href=\"https://doi.org/10.57720/6037\">https://doi.org/10.57720/6037</a>.","bibtex":"@inproceedings{Döring_Trojahn_Reusch_2025, place={Magdeburg}, title={Partial Twin – Pragmatic Digital Twin Adoption for SMEs}, volume={18}, DOI={<a href=\"https://doi.org/10.57720/6037\">10.57720/6037</a>}, booktitle={18th 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={Otto von Guericke University Library, Magdeburg, GermanyEditor}, year={2025} }","ama":"Döring L, Trojahn S, Reusch P. Partial Twin – Pragmatic Digital Twin Adoption for SMEs. In: Otto von Guericke University Library, Magdeburg, Germany, ed. <i>18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Vol 18. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany; 2025. doi:<a href=\"https://doi.org/10.57720/6037\">10.57720/6037</a>","alphadin":"<span style=\"font-variant:small-caps;\">Döring, Lina</span> ; <span style=\"font-variant:small-caps;\">Trojahn, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Reusch, Pascal</span>: Partial Twin – Pragmatic Digital Twin Adoption for SMEs. In: <span style=\"font-variant:small-caps;\">Otto von Guericke University Library, Magdeburg, Germany</span> (Hrsg.): <i>18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Bd. 18. Magdeburg : Otto von Guericke University Library, Magdeburg, Germany, 2025","mla":"Döring, Lina, et al. “Partial Twin – Pragmatic Digital Twin Adoption for SMEs.” <i>18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Otto von Guericke University Library, Magdeburg, Germany, vol. 18, Otto von Guericke University Library, Magdeburg, Germany, 2025, doi:<a href=\"https://doi.org/10.57720/6037\">10.57720/6037</a>.","ieee":"L. Döring, S. Trojahn, and P. Reusch, “Partial Twin – Pragmatic Digital Twin Adoption for SMEs,” in <i>18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, Magdeburg, 2025, vol. 18.","short":"L. Döring, S. Trojahn, P. Reusch, in: Otto von Guericke University Library, Magdeburg, Germany (Ed.), 18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, Magdeburg, 2025."},"user_id":"250307","language":[{"iso":"eng"}],"status":"public","publication":"18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","date_created":"2025-07-01T12:39:47Z","publication_status":"published","urn":"urn:nbn:de:hbz:bi10-59727","related_material":{"link":[{"url":"http://dx.doi.org/10.25673/119021","description":"This contains the original article published by Otto von Guericke University Magdeburg. 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Demystifying Reinforcement Learning in Production Scheduling via Explainable AI. <i>arXiv</i>. 2024. doi:<a href=\"https://doi.org/10.48550/ARXIV.2408.09841\">10.48550/ARXIV.2408.09841</a>","bibtex":"@article{Fischer_Hüsener_Grumbach_Vollenkemper_Müller_Reusch_2024, title={Demystifying Reinforcement Learning in Production Scheduling via Explainable AI}, DOI={<a href=\"https://doi.org/10.48550/ARXIV.2408.09841\">10.48550/ARXIV.2408.09841</a>}, journal={arXiv}, publisher={Cornell University}, author={Fischer, Daniel and Hüsener, Hannah M. and Grumbach, Felix and Vollenkemper, Lukas and Müller, Arthur and Reusch, Pascal}, year={2024} }","ieee":"D. Fischer, H. M. Hüsener, F. Grumbach, L. Vollenkemper, A. Müller, and P. 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Reusch, ArXiv (2024).","chicago":"Fischer, Daniel, Hannah M. Hüsener, Felix Grumbach, Lukas Vollenkemper, Arthur Müller, and Pascal Reusch. “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI.” <i>ArXiv</i>, 2024. <a href=\"https://doi.org/10.48550/ARXIV.2408.09841\">https://doi.org/10.48550/ARXIV.2408.09841</a>.","apa":"Fischer, D., Hüsener, H. M., Grumbach, F., Vollenkemper, L., Müller, A., &#38; Reusch, P. (2024). Demystifying Reinforcement Learning in Production Scheduling via Explainable AI. <i>ArXiv</i>. <a href=\"https://doi.org/10.48550/ARXIV.2408.09841\">https://doi.org/10.48550/ARXIV.2408.09841</a>"},"_id":"5470","main_file_link":[{"url":"https://arxiv.org/abs/2408.09841","open_access":"1"}],"author":[{"full_name":"Fischer, Daniel","last_name":"Fischer","first_name":"Daniel"},{"full_name":"Hüsener, Hannah M.","first_name":"Hannah M.","last_name":"Hüsener"},{"id":"243801","last_name":"Grumbach","orcid":"0000-0001-6348-7897","first_name":"Felix","full_name":"Grumbach, Felix","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-6348-7897/work/177055139"},{"first_name":"Lukas","last_name":"Vollenkemper","full_name":"Vollenkemper, Lukas","id":"245570"},{"first_name":"Arthur","last_name":"Müller","full_name":"Müller, Arthur"},{"full_name":"Reusch, Pascal","last_name":"Reusch","first_name":"Pascal","id":"223271"}],"year":"2024","publisher":"Cornell University","type":"journal_article","doi":"10.48550/ARXIV.2408.09841","title":"Demystifying Reinforcement Learning in Production Scheduling via Explainable AI","oa":"1"},{"oa":"1","title":"Optimizing Sales Forecasts through Automated Integration of Market Indicators","type":"journal_article","doi":"10.48550/ARXIV.2406.07564","publisher":"Cornell University","year":"2024","author":[{"id":"231689","full_name":"Döring, Lina","first_name":"Lina","last_name":"Döring","orcid":"0009-0000-3555-4183"},{"id":"243801","full_name":"Grumbach, Felix","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-6348-7897/work/177055069","orcid":"0000-0001-6348-7897","last_name":"Grumbach","first_name":"Felix"},{"first_name":"Pascal","last_name":"Reusch","full_name":"Reusch, Pascal","id":"223271"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2406.07564"}],"_id":"5472","citation":{"chicago":"Döring, Lina, Felix Grumbach, and Pascal Reusch. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” <i>ArXiv</i>, 2024. <a href=\"https://doi.org/10.48550/ARXIV.2406.07564\">https://doi.org/10.48550/ARXIV.2406.07564</a>.","apa":"Döring, L., Grumbach, F., &#38; Reusch, P. (2024). Optimizing Sales Forecasts through Automated Integration of Market Indicators. <i>ArXiv</i>. <a href=\"https://doi.org/10.48550/ARXIV.2406.07564\">https://doi.org/10.48550/ARXIV.2406.07564</a>","ama":"Döring L, Grumbach F, Reusch P. Optimizing Sales Forecasts through Automated Integration of Market Indicators. <i>arXiv</i>. 2024. doi:<a href=\"https://doi.org/10.48550/ARXIV.2406.07564\">10.48550/ARXIV.2406.07564</a>","bibtex":"@article{Döring_Grumbach_Reusch_2024, title={Optimizing Sales Forecasts through Automated Integration of Market Indicators}, DOI={<a href=\"https://doi.org/10.48550/ARXIV.2406.07564\">10.48550/ARXIV.2406.07564</a>}, journal={arXiv}, publisher={Cornell University}, author={Döring, Lina and Grumbach, Felix and Reusch, Pascal}, year={2024} }","short":"L. Döring, F. Grumbach, P. Reusch, ArXiv (2024).","mla":"Döring, Lina, et al. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” <i>ArXiv</i>, Cornell University, 2024, doi:<a href=\"https://doi.org/10.48550/ARXIV.2406.07564\">10.48550/ARXIV.2406.07564</a>.","ieee":"L. Döring, F. Grumbach, and P. Reusch, “Optimizing Sales Forecasts through Automated Integration of Market Indicators,” <i>arXiv</i>, 2024.","alphadin":"<span style=\"font-variant:small-caps;\">Döring, Lina</span> ; <span style=\"font-variant:small-caps;\">Grumbach, Felix</span> ; <span style=\"font-variant:small-caps;\">Reusch, Pascal</span>: Optimizing Sales Forecasts through Automated Integration of Market Indicators. In: <i>arXiv</i>, Cornell University (2024)"},"user_id":"220548","language":[{"iso":"eng"}],"publication":"arXiv","date_updated":"2026-03-17T15:29:18Z","status":"public","publication_status":"published","date_created":"2025-01-30T13:41:54Z"}]
