Contact
+49 711 685 60137
+49 711 685 52022
Email
Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.39
Office Hours
by appointment
Subject
Scientific interest:
- Distributed Systems
- Research Data Management
- Metadata, Semantics, and Ontologies
- Dark Data
- Information Technology and Society
2024
- B. Schembera et al., “Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines,” in Metadata and Semantic Research, E. Garoufallou and F. Sartori, Eds., in Metadata and Semantic Research. Springer, 2024, pp. 161--168. doi: 10.1007/978-3-031-65990-4_14.
2023
- M. Brennenstuhl, R. Otto, B. Schembera, and U. Eicker, “Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings,” 2023. [Online]. Available: https://www.researchsquare.com/article/rs-3677621/latest.pdf
- M. T. Horsch, B. Schembera, and H. A. Preisig, “European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling,” in Proc. ICAPAI, in Proc. ICAPAI. 2023. [Online]. Available: https://www.researchgate.net/profile/Martin-Horsch/publication/370285356_European_standardization_efforts_from_FAIR_toward_explainable-AI-ready_data_documentation_in_materials_modelling/links/644934045762c95ac3528653/European-standardization-efforts-from-FAIR-toward-explainable-AI-ready-data-documentation-in-materials-modelling.pdf
- M. Horsch, B. Schembera, and M. DFG, “Epistemic metadata in molecular modelling: First-stage case-study report (10 cases),” 2023. [Online]. Available: https://www.researchgate.net/profile/Martin-Horsch/publication/366974408_Epistemic_metadata_in_molecular_modelling_First-stage_case-study_report_10_cases/links/63bc41e4a03100368a6645a6/Epistemic-metadata-in-molecular-modelling-First-stage-case-study-report-10-cases.pdf
- B. Schembera, “Die im Dunklen sieht man doch,” in Faktor Mensch, in Faktor Mensch. , Nomos Verlagsgesellschaft mbH & Co. KG, 2023, pp. 249--249. doi: https://doi.org/10.5771/9783748941767.
- B. Schembera, C. Riethmüller, and D. Göddeke, “Enabling FAIR Data in Computational Science, Engineering and Mathematics through Knowledge Graphs.” 2023. [Online]. Available: https://www.simtech2023.uni-stuttgart.de/documents/Theme-4/Schembera-Bjoern.pdf
- B. Schembera et al., “Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines.” 2023. [Online]. Available: https://arxiv.org/abs/2310.20443
- B. Schembera et al., “Building Ontologies and Knowledge Graphs for Mathematics and its Applications,” in Proceedings of the Conference on Research Data Infrastructure, in Proceedings of the Conference on Research Data Infrastructure, vol. 1. 2023. doi: 10.52825/cordi.v1i.255.
2022
- T. Boege et al., “Research-Data Management Planning in the German Mathematical Community.” arXiv, 2022. doi: 10.48550/ARXIV.2211.12071.
- M. Horsch et al., “Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis,” in Data Analytics and Management in Data Intensive Domains, A. Pozanenko, S. Stupnikov, B. Thalheim, E. Mendez, and N. Kiselyova, Eds., in Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2022, pp. 166--177.
- M. T. Horsch and B. Schembera, “Documentation of epistemic metadata by a mid-level ontology of cognitive processes,” in Proc. JOWO 2022, in Proc. JOWO 2022. 2022.
- K. Jung, B. Schembera, and M. Gärtner, “Best of Both Worlds? Mapping Process Metadata in Digital Humanities and Computational Engineering,” in Metadata and Semantic Research, E. Garoufallou, M.-A. Ovalle-Perandones, and A. Vlachidis, Eds., in Metadata and Semantic Research. Cham: Springer International Publishing, 2022, pp. 199--205. doi: 10.1007/978-3-030-98876-0_17.
- S. Schimmler et al., NFDI4Cat: Local and overarching data infrastructures. in E-Science-Tage 2021: Share Your Research Data. heiBOOKS, 2022. doi: heibooks.979.c13738.
- C.-M. Schlesinger et al., Nicht-lineare Narrative in Netzliteratur: Speicherung und Nachnutzung von Forschungsdaten aus der computergestützten Extraktion von Verweisstrukturen in Hypertexten. in E-Science-Tage 2021: Share Your Research Data,. heiBOOKS, 2022. doi: heibooks.979.c13727.
2021
- A. Axtmann et al., “Kriterien für die Auswahl einer Softwarelösung für den Betrieb eines Repositoriums für Forschungsdaten,” Bausteine Forschungsdatenmanagement, no. 3, Art. no. 3, Oct. 2021, doi: 10.17192/bfdm.2021.3.8348.
- M. T. Horsch, S. Chiacchiera, W. L. Cavalcanti, and B. Schembera, Data Technology in Materials Modelling. Cham: Springer Nature, 2021. doi: 10.1007/978-3-030-68597-3.
- M. T. Horsch, J. F. Morgado, G. Goldbeck, D. Iglezakis, N. A. Konchakova, and B. Schembera, “Domain-specific metadata standardization in materials modelling,” 2021. [Online]. Available: https://openreview.net/forum?id=uYgdGd7_wgH
- B. Schembera, “Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data,” The Journal of Supercomputing, 2021, doi: https://doi.org/10.1007/s11227-020-03602-6.
2020
- F. Bach, B. Schembera, and J. van Wezel, “Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany,” International Journal of Digital Curation, vol. 15, no. 1, Art. no. 1, 2020, doi: https://doi.org/10.2218/ijdc.v15i1.553.
- S. Hermann et al., “Datenmanagement im SFB 1313,” Bausteine Forschungsdatenmanagement, no. 1, Art. no. 1, 2020, [Online]. Available: https://bausteine-fdm.de/article/download/8085/8062
- M. T. Horsch et al., “Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions,” 2020, doi: 10.5281/zenodo.3949803.
- M. T. Horsch et al., “Reliable and interoperable computational molecular engineering: 1. Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions,” Molecular and Mesoscopic Modelling in Chemical Engineering Data Science, 2020.
- B. Schembera and D. Iglezakis, “EngMeta -- Metadata for Computational Engineering,” International Journal of Metadata, Semantics and Ontologies, vol. 14, no. 1, Art. no. 1, 2020, [Online]. Available: https://arxiv.org/abs/2005.01637
- B. Selent, H. Kraus, N. Hansen, B. Schembera, A. Seeland, and D. Iglezakis, “Management of Research Data in Computational Fluid Dynamics and Thermodynamics,” Proceedings of E-Science-Tage 2019: Data to Knowledge, 2020, doi: https://doi.org/10.11588/heibooks.598.
2019
- B. Schembera, “Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften,” Publication, Universität Stuttgart, Stuttgart, 2019. doi: 10.18419/opus-11028.
- B. Schembera and J. M. Durán, “Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer,” Philosophy & Technology, Mar. 2019, doi: 10.1007/s13347-019-00346-x.
- B. Schembera and D. Iglezakis, “The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering,” in Metadata and Semantic Research, E. Garoufallou, F. Sartori, R. Siatri, and M. Zervas, Eds., in Metadata and Semantic Research. Springer International Publishing, 2019, pp. 127–132. doi: https://doi.org/10.1007/978-3-030-14401-2_12.
- B. Schembera, B. Selent, D. Iglezakis, and A. Seeland, “Datenmanagement in Infrastrukturen, Prozessen und Lebenszyklen für die Ingenieurwissenschaften : Abschlussbericht des BMBF-Projektes Dipl-Ing,” Universität Stuttgart;, Stuttgart, 2019. doi: 10.2314/KXP:1693393980.
2018
- D. Iglezakis and B. Schembera, “Anforderungen der Ingenieurwissenschaften an das Forschungsdatenmanagement der Universität Stuttgart - Ergebnisse der Bedarfsanalyse des Projektes DIPL-ING,” o-bib. Das offene Bibliotheksjournal, vol. 3, 2018, doi: 10.5282/o-bib/2018H3S46-60.
2017
- B. Schembera, “Myths of Simulation,” in The Science and Art of Simulation I, in The Science and Art of Simulation I. , Springer, 2017, pp. 51--63. [Online]. Available: http://link.springer.com/chapter/10.1007%2F978-3-319-55762-5_5
- B. Schembera and T. Bönisch, “Challenges of Research Data Management for High Performance Computing,” in International Conference on Theory and Practice of Digital Libraries, in International Conference on Theory and Practice of Digital Libraries. Springer, 2017, pp. 140--151. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12
- P. Skvortsov, B. Schembera, F. Dürr, and K. Rothermel, “Optimized Secure Position Sharing with Non-trusted Servers,” arXiv.org, pp. 1–26, Feb. 2017, [Online]. Available: https://arxiv.org/abs/1702.08377
2016
- A. Kaminski, B. Schembera, M. Resch, and U. Küster, “Simulation als List,” Jahrbuch Technikphilosophie, vol. 2, pp. 93–121, 2016, [Online]. Available: https://www.diaphanes.net/buch/detail/2474
2015
- J. van Wezel et al., “Towards an Interoperable Data Archive,” 2015.
2011
- B. Schembera, “Platzierungsoptimierung für vertrauliche Verwaltung der verteilten Positionsinformationen,” IPVS, 2011. [Online]. Available: ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-3102/DIP-3102.pdf