[{"publisher":"Otto von Guericke University Library, Magdeburg, Germany","editor":[{"full_name":"Behrendt, Fabian","first_name":"Fabian","last_name":"Behrendt"},{"full_name":"Zadek, Hartmut","first_name":"Hartmut","last_name":"Zadek"},{"first_name":"Jettarat","last_name":"Janmontree","full_name":"Janmontree, Jettarat"},{"last_name":"Trojahn","first_name":"Sebastian","full_name":"Trojahn, Sebastian"},{"last_name":"Lang","first_name":"Sebastian","full_name":"Lang, Sebastian"}],"title":"Smart data adapter: A hybrid pattern-LLM approach","_id":"7068","year":"2026","doi":"10.25673/123544","user_id":"220548","main_file_link":[{"url":"https://opendata.uni-halle.de/bitstream/1981185920/125478/1/DW16_Smart%20Data%20Adapter%20A%20Hybrid%20Pattern-LLM%20Approach.pdf"}],"department":[{"_id":"103"}],"author":[{"first_name":"Lina","last_name":"Döring","orcid":"0009-0000-3555-4183","full_name":"Döring, Lina","id":"231689","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0000-3555-4183/work/221016189"},{"first_name":"Sebastian","last_name":"Trojahn","full_name":"Trojahn, Sebastian"},{"id":"223271","first_name":"Pascal","last_name":"Reusch","full_name":"Reusch, Pascal"}],"keyword":["Semantic Data Type Detection","DigitalTwin","Manufacturing SMEs","Zero-shot Learning","Hybrid AI","LLM"],"date_updated":"2026-07-20T08:11:01Z","publication_status":"published","quality_controlled":"1","citation":{"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.","ieee":"L. Döring, S. Trojahn, and P. Reusch, “Smart data adapter: A hybrid pattern-LLM approach,” in <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, Magdeburg, 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","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>","mla":"Döring, Lina, et al. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Fabian Behrendt et al., Otto von Guericke University Library, Magdeburg, Germany, 2026, doi:<a href=\"https://doi.org/10.25673/123544\">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} }"},"project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"conference":{"name":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","start_date":"2026-06-15","end_date":"2026-06-16","location":"Magdeburg"},"date_created":"2026-07-16T18:51:32Z","status":"public","type":"conference","language":[{"iso":"eng"}],"publication":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","abstract":[{"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.","lang":"eng"}]},{"place":"Bonn","citation":{"bibtex":"@inproceedings{Sangel_Bensch_Brandt-Pook_Röllke_Markworth_2025, place={Bonn}, title={Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES}, DOI={<a href=\"https://doi.org/10.18420/INF2025_121\">10.18420/INF2025_121</a>}, number={366}, booktitle={INFORMATIK 2025}, author={Sangel, Marius and Bensch, Emilia and Brandt-Pook, Hans and Röllke, Timo and Markworth, Cedric}, editor={Gesellschaft für Informatik e.V.Editor}, year={2025}, pages={1363–1371} }","chicago":"Sangel, Marius, Emilia Bensch, Hans Brandt-Pook, Timo Röllke, and Cedric Markworth. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” In <i>INFORMATIK 2025</i>, edited by Gesellschaft für Informatik e.V., 1363–71. Bonn, 2025. <a href=\"https://doi.org/10.18420/INF2025_121\">https://doi.org/10.18420/INF2025_121</a>.","mla":"Sangel, Marius, et al. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” <i>INFORMATIK 2025</i>, edited by Gesellschaft für Informatik e.V., no. 366, 2025, pp. 1363–71, doi:<a href=\"https://doi.org/10.18420/INF2025_121\">10.18420/INF2025_121</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Sangel, Marius</span> ; <span style=\"font-variant:small-caps;\">Bensch, Emilia</span> ; <span style=\"font-variant:small-caps;\">Brandt-Pook, Hans</span> ; <span style=\"font-variant:small-caps;\">Röllke, Timo</span> ; <span style=\"font-variant:small-caps;\">Markworth, Cedric</span>: Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In: <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik e.V.</span> (Hrsg.): <i>INFORMATIK 2025</i>. Bonn, 2025, S. 1363–1371","apa":"Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., &#38; Markworth, C. (2025). Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik e.V. (Ed.), <i>INFORMATIK 2025</i> (pp. 1363–1371). Bonn. <a href=\"https://doi.org/10.18420/INF2025_121\">https://doi.org/10.18420/INF2025_121</a>","ieee":"M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, and C. Markworth, “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES,” in <i>INFORMATIK 2025</i>, Potsdam, 2025, no. 366, pp. 1363–1371.","short":"M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.","ama":"Sangel M, Bensch E, Brandt-Pook H, Röllke T, Markworth C. Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In: Gesellschaft für Informatik e.V., ed. <i>INFORMATIK 2025</i>. Bonn; 2025:1363-1371. doi:<a href=\"https://doi.org/10.18420/INF2025_121\">10.18420/INF2025_121</a>"},"quality_controlled":"1","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"has_accepted_license":"1","date_created":"2025-10-15T07:05:27Z","oa":"1","language":[{"iso":"ger"}],"publication":"INFORMATIK 2025","type":"conference","publication_identifier":{"unknown":["2944-7682"]},"page":"1363-1371","tmp":{"short":"CC BY-SA (4.0)","image":"/images/cc_by_sa.png","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode"},"title":"Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES","_id":"6235","file_date_updated":"2025-10-15T07:02:12Z","year":"2025","department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"date_updated":"2026-03-17T15:29:27Z","publication_status":"epub_ahead","author":[{"id":"243822","full_name":"Sangel, Marius","first_name":"Marius","last_name":"Sangel"},{"full_name":"Bensch, Emilia","last_name":"Bensch","first_name":"Emilia"},{"id":"206531","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-6668-2684/work/194297832","last_name":"Brandt-Pook","first_name":"Hans","orcid":"0009-0002-6668-2684","full_name":"Brandt-Pook, Hans"},{"full_name":"Röllke, Timo","last_name":"Röllke","first_name":"Timo"},{"first_name":"Cedric","last_name":"Markworth","full_name":"Markworth, Cedric"}],"keyword":["Machine Learning","Computer Vision","Instance Segmentation","CNNs","YOLACT","Data Augmentation","Waste Classification","Trash Detection","Biowaste Analysis"],"file":[{"success":1,"access_level":"open_access","date_updated":"2025-10-15T07:02:12Z","content_type":"application/pdf","creator":"msangel1","file_name":"Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen Ansätze und Ergebnisse aus dem Projekt TRACES.pdf","file_size":14374281,"relation":"main_file","file_id":"6236","date_created":"2025-10-15T07:02:12Z"}],"conference":{"location":"Potsdam","end_date":"2025-09-19","name":"INFORMATIKFESTIVAL 2025","start_date":"2025-09-16"},"status":"public","issue":"366","urn":"urn:nbn:de:hbz:bi10-62353","user_id":"243822","corporate_editor":["Gesellschaft für Informatik e.V."],"doi":"10.18420/INF2025_121","main_file_link":[{"open_access":"1"}]},{"corporate_editor":["IEEE"],"user_id":"263827","year":"2025","doi":"10.1109/CITRExCompanion65208.2025.10981492","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/10981492"}],"publication_status":"published","date_updated":"2026-03-17T15:29:25Z","author":[{"id":"252434","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8362-5369/work/203880018","first_name":"Bjarne","last_name":"Jaster","full_name":"Jaster, Bjarne","orcid":"0000-0002-8362-5369"},{"orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin","first_name":"Martin","last_name":"Kohlhase","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/203880020","id":"226669"}],"keyword":["Active Learning","Trustworthiness","Evaluation-methods"],"page":"1-5","publisher":"IEEE","related_material":{"record":[{"id":"6045","relation":"later_version","status":"public"}]},"title":"Trust Issues in Active Learning and Their Impact on Real-World Applications","_id":"5905","status":"public","type":"conference","publication":"2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)","language":[{"iso":"eng"}],"publication_identifier":{"eisbn":["979-8-3315-1972-8"]},"citation":{"chicago":"Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” In <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>, edited by IEEE, 1–5. IEEE, 2025. <a href=\"https://doi.org/10.1109/CITRExCompanion65208.2025.10981492\">https://doi.org/10.1109/CITRExCompanion65208.2025.10981492</a>.","bibtex":"@inproceedings{Jaster_Kohlhase_2025, title={Trust Issues in Active Learning and Their Impact on Real-World Applications}, DOI={<a href=\"https://doi.org/10.1109/CITRExCompanion65208.2025.10981492\">10.1109/CITRExCompanion65208.2025.10981492</a>}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)}, publisher={IEEE}, author={Jaster, Bjarne and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–5} }","mla":"Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>, edited by IEEE, IEEE, 2025, pp. 1–5, doi:<a href=\"https://doi.org/10.1109/CITRExCompanion65208.2025.10981492\">10.1109/CITRExCompanion65208.2025.10981492</a>.","apa":"Jaster, B., &#38; Kohlhase, M. (2025). Trust Issues in Active Learning and Their Impact on Real-World Applications. In IEEE (Ed.), <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i> (pp. 1–5). Trondheim, Norway: IEEE. <a href=\"https://doi.org/10.1109/CITRExCompanion65208.2025.10981492\">https://doi.org/10.1109/CITRExCompanion65208.2025.10981492</a>","alphadin":"<span style=\"font-variant:small-caps;\">Jaster, Bjarne</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Trust Issues in Active Learning and Their Impact on Real-World Applications. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i> : IEEE, 2025, S. 1–5","ieee":"B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>, Trondheim, Norway, 2025, pp. 1–5.","short":"B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.","ama":"Jaster B, Kohlhase M. Trust Issues in Active Learning and Their Impact on Real-World Applications. In: IEEE, ed. <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>. IEEE; 2025:1-5. doi:<a href=\"https://doi.org/10.1109/CITRExCompanion65208.2025.10981492\">10.1109/CITRExCompanion65208.2025.10981492</a>"},"quality_controlled":"1","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"conference":{"end_date":"2025-03-20","name":"2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)","start_date":"2025-03-17","location":"Trondheim, Norway"},"date_created":"2025-05-05T11:39:04Z"},{"page":"1-5","publisher":"IEEE","urn":"urn:nbn:de:hbz:bi10-60457","related_material":{"record":[{"relation":"earlier_version","status":"public","id":"5905"}],"link":[{"url":"10.1109/CITRExCompanion65208.2025.10981492","description":"This is the original article published by IEEE. 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Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>, Trondheim, Norway, 2025, pp. 1–5.","alphadin":"<span style=\"font-variant:small-caps;\">Jaster, Bjarne</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Trust Issues in Active Learning and Their Impact on Real-World Applications. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i> : IEEE, 2025, S. 1–5","apa":"Jaster, B., &#38; Kohlhase, M. (2025). Trust Issues in Active Learning and Their Impact on Real-World Applications. In IEEE (Ed.), <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i> (pp. 1–5). Trondheim, Norway: IEEE. <a href=\"https://doi.org/10.57720/6045\">https://doi.org/10.57720/6045</a>","ama":"Jaster B, Kohlhase M. Trust Issues in Active Learning and Their Impact on Real-World Applications. In: IEEE, ed. <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>. IEEE; 2025:1-5. doi:<a href=\"https://doi.org/10.57720/6045\">10.57720/6045</a>","short":"B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.","bibtex":"@inproceedings{Jaster_Kohlhase_2025, title={Trust Issues in Active Learning and Their Impact on Real-World Applications}, DOI={<a href=\"https://doi.org/10.57720/6045\">10.57720/6045</a>}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)}, publisher={IEEE}, author={Jaster, Bjarne and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–5} }","chicago":"Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” In <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)</i>, edited by IEEE, 1–5. 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