Towards a German VET archive and its integration into a data warehouse

bibb.id784668
bibb.participationBIBB-Mitarbeiterde
dc.contributor.authorReiser, Thomas [Verfasser]de
dc.contributor.authorSteiner, Petra [Verfasser]de
dc.contributor.authorHein, Kristine [Verfasser]de
dc.date.accessioned2026-04-07T13:34:32Z
dc.date.available2026-04-07T13:34:32Z
dc.date.issued2025
dc.description.abstract"This paper presents a systematic evaluation and prototypical implementation of an information system for historical vocational education and training (VET) regulations in Germany. The focus of this study is on integrating structured outputs with the German Labor Market Ontology (GLMO) and a broader labor market data warehouse. A corpus of VET and CVET regulations, as published in the Federal Gazette from 1969 to 2022, was used to assess the functional and semantic requirements of the archival process. This analysis was complemented by a review of existing software frameworks, culminating in the proposal of a combined architecture utilizing Omeka S and TEI Publisher. In addition, the necessary transformations, metadata enrichment, and ETL processes required to integrate the resulting TEI XML documents into a semantically linked data environment are detailed. This work provides a concrete roadmap for the sustainable digitization and semantic integration of regulatory texts into modern labor market intelligence infrastructures." (Authors' abstract, BIBB-Doku)de
dc.description.statementofresponsibilityThomas Reiser, Petra Steiner, Kristine Heinde
dc.format.extentSeite 145-152de
dc.format.illustrationIllustrationende
dc.format.illustrationDiagrammede
dc.format.mediumElektronische Ressourcede
dc.format.mediumSammelbandbeitragde
dc.identifier.uriDOI:10.15439/2025F0064
dc.identifier.urihttps://bibb-dspace.bibb.de/jspui/handle/BIBB/784668
dc.language.isoende
dc.rdacarrier.codecrde
dc.rdacarrier.sourcerdacontentde
dc.rdacarrier.termOnline-Ressourcede
dc.rdacontent.codetxtde
dc.rdacontent.sourcerdacontentde
dc.rdacontent.termTextde
dc.rdamedia.codecde
dc.rdamedia.sourcerdacontentde
dc.rdamedia.termComputermediende
dc.relation.ispartofAnnals of Computer Science and Information Systems, (2025), Vol. 45: Communication Papers of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), September 14–17, 2025. Kraków, Poland / Marek Bolanowski [Hrsg.] ; Maria Ganzha [Hrsg.] ; Leszek Maciaszek [Hrsg.] ; Marcin Paprzycki [Hrsg.] ; Dominik Ślęzak [Hrsg.]
dc.rights.licenseDeutsches Urheberrechtde
dc.source.urihttps://annals-csis.org/Volume_45/drp/pdf/0064.pdf (Volltext)de
dc.subject.classificationS 6 Berufsbereichede
dc.subject.ddc370de
dc.subject.otherDigitalisierungde
dc.subject.otherArchivde
dc.subject.otherBerufsausbildungde
dc.subject.otherWeiterbildungde
dc.subject.otherBerufsforschungde
dc.subject.otherTexterkennungde
dc.titleTowards a German VET archive and its integration into a data warehousede

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