Publications

Björn Schembera, Frank Wübbeling, Aurela Shehu, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Burkhard Schmidt, Eloi Ferrer, and Thomas Koprucki. FAIR Representation of Mathematical Research Data: MathModDB and MathAlgoDB as Knowledge Graphs for Mathematical Models and Numerical Algorithms. In York Sure-Vetter, and Paul Groth (Eds.), 2nd Conference on Research Data Infrastructure (CoRDI), 2025. [PUMA: cmcsians data mathematik metadata myown simulation] URL

MT Horsch, S Chiacchiera, IT Todorov, AT Correia, A Dey, NA Konchakova, S Scholze, S Stephan, K Tøndel, A Sarkar, M. H. Karray, F. Al Machot, and B. Schembera. Exploration of core concepts required for mid-and domain-level ontology development to facilitate explainable-AI-readiness of data and models. 2024. [PUMA: cmcs dark data fair hpc mathematik metadata myown simulation xair]

Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, and Dominik Göddeke. Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. In Emmanouel Garoufallou, and Fabio Sartori (Eds.), Metadata and Semantic Research, 161--168, Springer, 2024. [PUMA: cmcs data ians metadata myown ontologies semantics simulation]

Björn Schembera, Cedric Riethmüller, and Dominik Göddeke. Enabling FAIR Data in Computational Science, Engineering and Mathematics through Knowledge Graphs. 2023. [PUMA: cmcs hpc mathematik metadata myown ontoloties simtech simulation] URL

MT Horsch, B Schembera, and MaRDI DFG. Epistemic metadata in molecular modelling: First-stage case-study report (10 cases). Inprodat eV, Kaiserslautern, Tech. Rep, 2023. [PUMA: cmcs mathematik metadata myown simulation] URL

Björn Schembera, Frank Wübbeling, Thomas Koprucki, Christine Biedinger, Marco Reidelbach, Burkhard Schmidt, Dominik Göddeke, and Jochen Fiedler. Building Ontologies and Knowledge Graphs for Mathematics and its Applications. Proceedings of the Conference on Research Data Infrastructure, (1)2023. [PUMA: cmcs mathematik metadata myown rdm simulation] URL

Marcus Brennenstuhl, Robert Otto, Björn Schembera, and Ursula Eicker. Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings. 2023. [PUMA: cmcs myown simulation] URL

Martin Thomas Horsch, Silvia Chiacchiera, Welchy Leite Cavalcanti, and Björn Schembera. Data Technology in Materials Modelling. Springer Nature, Cham, 2021. [PUMA: "data data hpc metadata myown simulation technology"] URL

Martin Thomas Horsch, Joana Francisco Morgado, Gerhard Goldbeck, Dorothea Iglezakis, Natalia A. Konchakova, and Björn Schembera. Domain-specific metadata standardization in materials modelling. 2021. [PUMA: data hpc metadata myown simulation] URL

Björn Schembera, Björn Selent, Dorothea Iglezakis, and Anett Seeland. Datenmanagement in Infrastrukturen, Prozessen und Lebenszyklen für die Ingenieurwissenschaften : Abschlussbericht des BMBF-Projektes Dipl-Ing. Universität Stuttgart;, Stuttgart, 2019. [PUMA: data hpc metadata myown simulation] URL

Björn Schembera. Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften. Stuttgart, 2019. [PUMA: dark data hpc metadata myown simulation] URL

Felix Bach, Björn Schembera, and Jos van Wezel. Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany. In Kevin Ashley (Eds.), International Journal of Digital Curation, (15)12020. [PUMA: data hpc metadata myown rdm simulation] URL

Björn Selent, Hamzeh Kraus, Niels Hansen, Björn Schembera, Anett Seeland, and Dorothea Iglezakis. Management of Research Data in Computational Fluid Dynamics and Thermodynamics. Proceedings of E-Science-Tage 2019: Data to Knowledge, 2020. [PUMA: data hpc metadata myown rdm simulation] URL

Martin Thomas Horsch, Silvia Chiacchiera, Michael A Seaton, Ilian T Todorov, Björn Schembera, Natalia Konchakova, and Peter Klein. 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. [PUMA: data hpc interoperability metadata myown rdm simulation]

Sibylle Hermann, Martin Schneider, Bernd Flemisch, Steffen Frey, Dorothea Iglezakis, Matthias Ruf, Björn Schembera, Anett Seeland, and Holger Steeb. Datenmanagement im SFB 1313. Bausteine Forschungsdatenmanagement, 1:28--38, 2020. [PUMA: data hpc metadata myown rdm simulation] URL

Björn Schembera, and Dorothea Iglezakis. EngMeta -- Metadata for Computational Engineering. In Emmanouel Garoufallou (Eds.), International Journal of Metadata, Semantics and Ontologies, (14)1:26-38, 2020. [PUMA: data hpc metadata myown simulation] URL

Björn Schembera, and Dorothea Iglezakis. The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering. In Emmanouel Garoufallou, Fabio Sartori, Rania Siatri, and Marios Zervas (Eds.), Metadata and Semantic Research, 846:127-132, Springer International Publishing, Cham, 2019. [PUMA: data distributed hpc metadata myown simulation] URL

Björn Schembera, and Juan M. Durán. Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer. Philosophy & Technology, Mar 13, 2019. [PUMA: data distributed hpc myown simulation] URL

Dorothea Iglezakis, and Björn Schembera. Anforderungen der Ingenieurwissenschaften an das Forschungsdatenmanagement der Universität Stuttgart - Ergebnisse der Bedarfsanalyse des Projektes DIPL-ING. o-bib. Das offene Bibliotheksjournal, (3)2018. [PUMA: Forschungsdatenmanagement RDM data hpc myown simulation] URL

Björn Schembera, and Thomas Bönisch. Challenges of Research Data Management for High Performance Computing. International Conference on Theory and Practice of Digital Libraries, 140--151, 2017. [PUMA: data hpc management myown research simulation] URL