Journal Publications

• Akroyd, Jethro, Sebastian Mosbach, Amit Bhave, and Markus Kraft. "Universal digital twin-a dynamic knowledge graph." Data-Centric Engineering 2 (2021): e14.
• Zhou, Baifan, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, and Ralf Mikut. "Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding." Journal of Intelligent Manufacturing 33, no. 4 (2022): 1139-1163.
• Quek, Hou Yee, Franziska Sielker, Jethro Akroyd, Amit N. Bhave, Aurel von Richthofen, Pieter Herthogs, Claudia van der Laag Yamu et al. "The conundrum in smart city governance: Interoperability and compatibility in an ever-growing ecosystem of digital twins." Data & Policy 5 (2023): e6.
• Fernandes, Pedro Henrique Evangelista, Giovanni Corsetti Silva, Diogo Berta Pitz, Matteo Schnelle, Katharina Koschek, Christof Nagel, and Vinicius Carrillo Beber. "Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence." Applied Mechanics 4, no. 1 (2023): 334-355.
• Blesio, G.G., Pourovskii, L.V., Aichhorn, M. et al. Influence of oxygen on electronic correlation and transport in iron in the Earth’s outer core. Commun Earth Environ 6, 26 (2025). https://doi.org/10.1038/s43247-024-01947-x
• Wilson, A.J., Davies, C.J., Walker, A.M. et al. The formation and evolution of the Earth’s inner core. Nat Rev Earth Environ 6, 140–154 (2025). https://doi.org/10.1038/s43017-024-00639-6
• Hofmeister M, Bai J, Brownbridge G, et al. Semantic agent framework for automated flood assessment using dynamic knowledge graphs. Data-Centric Engineering. 2024;5:e14. doi:10.1017/dce.2024.11
• Quek, H., Hofmeister, M., Rihm, S., Yan, J., Lai, J., Brownbridge, G., Hillman, M., Mosbach, S., Ang, W., Tsai, Y., Tran, D., Tan, S., & Kraft, M. (2024). Dynamic knowledge graph applications for augmented built environments through “The World Avatar”. https://doi.org/10.17863/CAM.108570
• Horsch, M. T., Chiacchiera, S., Guevara Carrión, G., Kohns, M., Müller, E. A., Šarić, D., Stephan, S., Todorov, I. T., Vrabec, J., & Schembera, B. (2023, May 4). Epistemic metadata for computational engineering information systems. 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), Sherbrooke, Québec. https://doi.org/10.5281/zenodo.7896066
• Zhou, D., Zhou, B., Zheng, Z., Kostylev, E.V., Cheng, G., Jimenez-Ruiz, E., Soylu, A. and Kharlamov, E., 2022, May. Enhancing knowledge graph generation with ontology reshaping–Bosch case. In European Semantic Web Conference (pp. 299-302). Cham: Springer International Publishing.
• Todorov I. Evolving requirements for materials modelling software and underlying method developments: an inventory and future outlook [version 1; peer review: 2 approved]. Open Res Europe 2022, 2:86 (https://doi.org/10.12688/openreseurope.14843.1)
• Zhou, B., Zheng, Z., Zhou, D., Cheng, G., Jiménez-Ruiz, E., Tran, T.K., Stepanova, D., Gad-Elrab, M.H., Nikolov, N., Soylu, A. and Kharlamov, E., 2022, May. The data value quest: a holistic semantic approach at Bosch. In European Semantic Web Conference (pp. 287-290). Cham: Springer International Publishing.
• Zheng, Z., Zhou, B., Zhou, D., Cheng, G., Jiménez-Ruiz, E., Soylu, A. and Kharlamov, E., 2022, May. Query-based industrial analytics over knowledge graphs with ontology reshaping. In European Semantic Web Conference (pp. 123-128). Cham: Springer International Publishing.
• M. Yahya, B. Zhou, J. G. Breslin, M. I. Ali and E. Kharlamov, "Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry," in IEEE Access, vol. 11, pp. 37360-37377, 2023, doi: 10.1109/ACCESS.2023.3267000.
• keywords: {Ontologies;Knowledge representation;Semantics;Resistance;Data models;Spot welding;Smart manufacturing;Resistance spot welding;semantic modeling;ontology;smart manufacturing;knowledge representation}
• Tan, Z., Zhou, B., Zheng, Z., Savkovic, O., Huang, Z., Gonzalez, I.G., Soylu, A. and Kharlamov, E., 2023, October. Literal-aware knowledge graph embedding for welding quality monitoring: a bosch case. In International Semantic Web Conference (pp. 453-471). Cham: Springer Nature Switzerland.
• Zheng, Z., Zhou, B., Yang, H. et al. Knowledge graph embedding closed under composition. Data Min Knowl Disc 38, 3531–3562 (2024). https://doi.org/10.1007/s10618-024-01050-x

Conference Publications

• Zhou, B., Zhou, D., Chen, J., Svetashova, Y., Cheng, G., & Kharlamov, E. (2021, December). Scaling usability of ML analytics with knowledge graphs: exemplified with a Bosch welding case. In Proceedings of the 10th International Joint Conference on Knowledge Graphs (pp. 54-63).
• Zhou, Dongzhuoran, Baifan Zhou, Jieying Chen, Gong Cheng, Egor Kostylev, and Evgeny Kharlamov. "Towards ontology reshaping for KG generation with user-in-the-loop: applied to Bosch welding." In Proceedings of the 10th International Joint Conference on Knowledge Graphs, pp. 145-150. 2021.
• Zhou, Dongzhuoran, Baifan Zhou, Zhuoxun Zheng, Egor V. Kostylev, Gong Cheng, Ernesto Jimenez-Ruiz, Ahmet Soylu, and Evgeny Kharlamov. "Enhancing knowledge graph generation with ontology reshaping–Bosch case." In European Semantic Web Conference, pp. 299-302. Cham: Springer International Publishing, 2022.
• Zhou, Baifan, Zhuoxun Zheng, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Trung-Kien Tran, Daria Stepanova et al. "The data value quest: a holistic semantic approach at Bosch." In European Semantic Web Conference, pp. 287-290. Cham: Springer International Publishing, 2022.
• Zheng, Zhuoxun, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, and Evgeny Kharlamov. "Query-based industrial analytics over knowledge graphs with ontology reshaping." In European Semantic Web Conference, pp. 123-128. Cham: Springer International Publishing, 2022.
• Yahya, Muhammad, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John G. Breslin, Muhammad Intizar Ali, and Evgeny Kharlamov. "Towards generalized welding ontology in line with ISO and knowledge graph construction." In European Semantic Web Conference, pp. 83-88. Cham: Springer International Publishing, 2022.
• Towards a Visualisation Ontology for Machine Learning Analysis in Industrial Applications
• Zhou, Baifan, Zhuoxun Zheng, Dongzhuoran Zhou, Zhipeng Tan, Ognjen Savković, Hui Yang, Yujia Zhang, and Evgeny Kharlamov. "Knowledge graph-based semantic system for visual analytics in automatic manufacturing." ISWC, 2022.
• Zheng, Zhuoxun, Baifan Zhou, Dongzhuoran Zhou, Akif Quddus Khan, Ahmet Soylu, and Evgeny Kharlamov. "Towards a statistic ontology for data analysis in smart manufacturing." In Proceedings of the ISWC 2022 posters, demos and industry tracks, vol. 3254. CEUR-WS. org, 2022.
• Zhou, Dongzhuoran, Baifan Zhou, Zhuoxun Zheng, Zhipeng Tan, Egor V. Kostylev, and Evgeny Kharlamov. "Towards executable knowledge graph translation." ISWC, 2022.
• Zhou, Baifan, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Yunjie He, Yuqicheng Zhu, Muhammad Yahya et al. Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment. Tech. Rep, 2022.
• Zheng, Zhuoxun, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, and Evgeny Kharlamov. "Executable knowledge graph for transparent machine learning in welding monitoring at bosch." In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 5102-5103. 2022.
• Zheng, Zhuoxun, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, and Evgeny Kharlamov. "Executable knowledge graphs for machine learning: A Bosch case of welding monitoring." In International Semantic Web Conference, pp. 791-809. Cham: Springer International Publishing, 2022.
• Zheng, Zhuoxun, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, and Evgeny Kharlamov. "Exekg: Executable knowledge graph system for user-friendly data analytics." In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 5064-5068. 2022.
• Zhou, Dongzhuoran, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jimenez-Ruiz, Egor V. Kostylev, and Evgeny Kharlamov. "Ontology reshaping for knowledge graph construction: Applied on bosch welding case." In International Semantic Web Conference, pp. 770-790. Cham: Springer International Publishing, 2022.
• Zhou, Dongzhuoran, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, and Evgeny Kharlamov. "Schere: Schema reshaping for enhancing knowledge graph construction." In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 5074-5078. 2022.
• Martin Thomas Horsch. (2023). XAIR research data and epistemic metadata for molecular methods (1.0). OntoCommons Second Global Workshop, Oslo, Norway. Zenodo. https://doi.org/10.5281/zenodo.8318493
• Silvia Chiacchiera, Aspects of data interoperability via ontologies in DOME4.0 and OntoCommons projects. Zenodo, 2023. doi: 10.5281/zenodo.8318196.
• Horsch, M. T. and Schembera, B. (2023) “Epistemic metadata in molecular modelling: First-stage case-study report (10 cases)”. Zenodo. doi: 10.5281/zenodo.7516533.
• Horsch, M. T. (2023) “Epistemic metadata in molecular modelling: Second-stage case-study report (12 claims)”. Zenodo. doi: 10.5281/zenodo.7610237.
• Goldbeck, G. (2022) “The Translator in Knowledge Management for Innovation – towards Industry Commons”. Zenodo. doi: 10.5281/zenodo.7041697.
• Dongzhuoran Zhou (2021) “Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding”. Zenodo. doi: 10.5281/zenodo.6802584.
• Klironomos, A., Zhou, B., Tan, Z., Zheng, Z., Mohamed, G. E., Paulheim, H., & Kharlamov, E. (2023, May). ExeKGLib: knowledge graphs-empowered machine learning analytics. In European Semantic Web Conference (pp. 123-127). Cham: Springer Nature Switzerland.
• Ghedini, E., Hashibon, A. and Friis, J. (2022) Semantic data exchange ontology. Zenodo. doi: 10.5281/zenodo.7784934.
• Zhou, B., Nikolov, N., Zheng, Z., Luo, X., Savkovic, O., Roman, D., Soylu, A. and Kharlamov, E., 2023, October. Scaling data science solutions with semantics and machine learning: Bosch case. In International Semantic Web Conference (pp. 380-399). Cham: Springer Nature Switzerland.
• Goldbeck, G. (2022) “Open Innovation Environments and their Importance in Materials Modelling and Materials Characterisation”. Zenodo. doi: 10.5281/zenodo.6363436.
• Laura Ann Slaughter and Jens Otten (2022) OntoCommons D2.2 - TLOMLO Landscape Analysis Report. Zenodo. doi: 10.5281/zenodo.6504440.