Development of a domain-specific ontology to support research data management for the tailored forming technology

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dc.identifier.uri http://dx.doi.org/10.15488/17043
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/17171
dc.contributor.author Sheveleva, Tatyana
dc.contributor.author Koepler, Oliver
dc.contributor.author Mozgova, Iryna
dc.contributor.author Lachmayer, Roland
dc.contributor.author Auer, Sören
dc.date.accessioned 2024-04-15T07:35:28Z
dc.date.available 2024-04-15T07:35:28Z
dc.date.issued 2020
dc.identifier.citation Sheveleva, T.; Koepler, O.; Mozgova, I.; Lachmayer, R.; Auer, S.: Development of a domain-specific ontology to support research data management for the tailored forming technology. In: Procedia Manufacturing 52 (2020), S. 107-112. DOI: https://doi.org/10.1016/j.promfg.2020.11.020
dc.description.abstract The global trend towards the comprehensive digitisation of technologies in product manufacturing is leading to radical changes in engineering processes and requires a new extended understanding of data handling. The amounts of data to be considered are becoming larger and more complex. Data can originate from process simulations, machines used or subsequent analyses, which together with the resulting components serve as a complete and reproducible description of the process. Within the Collaborative Research Centre”Process Chain for Manufacturing of Hybrid High Performance Components by Tailored Forming”, interdisciplinary work is being carried out on the development of process chains for the production of hybrid components. The management of the generated data and descriptive metadata, the support of the process steps and preliminary and subsequent data analysis are fundamental challenges. The objective is a continuous, standardised data management according to the FAIR Data Principles so that process-specific data and parameters can be transferred together with the components or samples to subsequent processes, individual process designs can take place and processes of machine learning can be accelerated. A central element is the collaborative development of a domain-specific ontology for a semantic description of data and processes of the entire process chain. eng
dc.language.iso eng
dc.publisher Amsterdam [u.a.] : Elsevier
dc.relation.ispartofseries Procedia Manufacturing 52 (2020)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Digitisation of Scientific Data eng
dc.subject FAIR Data Principles eng
dc.subject Manufacturing Process Chains eng
dc.subject Ontology Development eng
dc.subject Research Data Management eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau
dc.title Development of a domain-specific ontology to support research data management for the tailored forming technology eng
dc.type Article
dc.type Text
dc.relation.essn 2351-9789
dc.relation.doi https://doi.org/10.1016/j.promfg.2020.11.020
dc.bibliographicCitation.volume 52
dc.bibliographicCitation.firstPage 107
dc.bibliographicCitation.lastPage 112
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich


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