Forschung - Semper-KI Semper-KI

Forschung für die Entwicklung

Zu unserer Arbeit an der Semper-KI-Plattform forschen wir kontinuierlich in den Bereichen Large Language Models, Semantic Web und Ontologien, Logistik und Plattformökonomie. Die Übersicht:

2024

Meyer, L. P., Frey, J., Brei, F., & Arndt, N. (2024). Assessing SPARQL capabilities of Large Language Models. arXiv preprint arXiv:2409.05925.
Chen, X., Thi, Y.M., Sprigode, J., Riedel, R., Grzona, P. (2024). Partner Selection in Additive Manufacturing Networks. In: Thürer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 730. Springer, Cham. https://doi.org/10.1007/978-3-031-71629-4_29
Brei, F., Frey, J., & Meyer, L. P. (2024). Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance.arXiv preprint arXiv:2405.17076.
Frey, J., Meyer, L.-P., Brei, F., Gründer-Fahrer, S., Martin, M. (2024) Assessing the Evolution of LLM capabilities for Knowledge Graph Engineering in 2023, ESCW 2024 https://t1p.de/3nkvl
Hofer, M., Frey, J., Rahm, E. (2024). Towards self-configuring Knowledge Graph Construction Pipelines using LLMs – A case study with RML, Fifth International Workshop on Knowledge Graph Construction ESWC 2024 https://openreview.net/forum?id=ALgDqGCGdB
Frey, J., Akrami, A., Zinke-Wehlmann, C. (2023). The state of the additive manufacturing ontology landscpae for enabling rapid response in times of crisis, 5th International Conference on Industry 4.0 and Smart Manufacturing https://www.sciencedirect.com/science/article/pii/S1877050924002382

2023

Frey, J., Meyer, L. P., Arndt, N., Brei, F., & Bulert, K. (2023). Benchmarking the abilities of large language models for rdf knowledge graph creation and comprehension: How well do llms speak turtle?. arXiv preprint arXiv:2309.17122. https://doi.org/10.48550/arXiv.2309.17122
Grzona, P., Mai Thi, Y., Zumpe, F. and Münnich, M., 2023, Requirements for a ML- and platform-based simulation service. 20. ASIM Fachtagung Simulation in Produktion und Logistik 2023 (p. 187). https://doi.org/10.22032/dbt.57805
Mai, Y.T.; Chen, X.; Riedel, R.: The Potential of Additive Manufacturing Networks in Crisis Scenarios. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds): Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-031-43666-6_37
Mauersberger, A., Alaluss, M., Beyer, A., Nölscher, K., Rauscher, A., Reinhardt, H., Ihlenfeldt, S., 2023, A survey on smart product-service systems in manufacturing, Procedia CIRP, Volume 120, Pages 1504-1509. https://doi.org/10.1016/j.procir.2023.09.203
Meyer, Lars-Peter & Frey, Johannes & Junghanns, Kurt & Brei, Felix & Bulert, Kirill & Gründer-Fahrer, Sabine & Martin, Michael. (2023). Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. Zum Paper
Meyer, L. P., Stadler, C., Frey, J., Radtke, N., Junghanns, K., Meissner, R., … & Martin, M. (2023). Llm-assisted knowledge graph engineering: Experiments with chatgpt. Zum Paper
Mueller, B.: Part 6: Research and Development – Consortia and collaboration: Fraunhofer. In: Wohlers, T. et al (Eds.) Wohlers Report 2023 – 3D Printing and Additive Manufacturing Global State of the Industry. ASTM International, Washington, DC (USA), 2023, ISBN 978-1-6220-4966-0, S. 270 – 271. Zum Bericht
Münnich, M., Zumpe, F. and Grzona, P., 2023, Simulation und Maschinelles Lernen in Supply Chains. In ASIM WS 2023 Kurzbeiträge und Abstract-Beiträge, ARGESIM Publisher Vienna. https://doi.org/10.11128/arep.22
Rieprich, M., Ramm, S. and Berndt, S., 2023, From demand to digital platform: A reference process for hospital procurement, Integrated Systems in Medical Technologies (ISMT), 14.-15. September 2023, Erlangen.
Rieprich, M., and Ramm, S., 2023, Wertschöpfungsnetzwerke in der Gesundheitsindustrie: Steigerung der Resilienz gegenüber krisenbedingten Störungen, Industrie 4.0 Management, 39, 40-44. https://doi.org/10.30844/IM_23-4_40-44
Priya, B., Biswas, I., Thürer, M., and Avittathur, B., 2023, How to finance the supply chain when you are small? Clearance sale and loan payment timing in financially constrained supply chains, International Journal of Production Economics, 263, 108934. https://doi.org/10.1016/j.ijpe.2023.108934

2022

Nagel, M.; Riedel, R.: Supply Chain Management: Robuste Logistik und resiliente Lieferketten. In: A. Klein; P. Schenteler; T. Steinhauser (Hrsg.): Einkaufscontrolling. Instrumente und Kennzahlen für einen höheren Wertbeitrag des Einkaufs. Haufe-Lexware GmbH & Co. KG, Freiburg, 2022. S. 179-195
Schumann, C.-A., Riedel, R., Franke, S., Nitsche, A.-M. et al., “Artificial Intelligence Support for Smart Logistics Systems in Industrial Environments,”SAE Technical Paper 2022-01-0347, 2022, https://doi.org/10.4271/2022-01-0347.