Linking vocational archive data using an occupations and educations centric ontology

Reiser, Thomas [Verfasser]; Dörpinghaus, Jens [Verfasser]; Steiner, Petra [Verfasser]; Tiemann, Michael [Verfasser]

Linking vocational archive data using an occupations and educations centric ontology

bibb.id	784681
bibb.participation	BIBB-Mitarbeiter	de
dc.contributor.author	Reiser, Thomas [Verfasser]	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.contributor.author	Steiner, Petra [Verfasser]	de
dc.contributor.author	Tiemann, Michael [Verfasser]	de
dc.date.accessioned	2026-04-08T07:40:25Z
dc.date.available	2026-04-08T07:40:25Z
dc.date.issued	2025
dc.description.abstract	"In this paper, an approach is presented for semantically enriching and linking historical vocational education and training (VET) documents using an ontology-centric method grounded in occupations and educational programs. The present study draws on a digitized corpus of archival documents from various political regimes in Germany — including the German Empire, the German Democratic Republic (GDR), and the Federal Republic Germany (FRG) — in order to explore strategies for annotating job titles and aligning them with standardized taxonomies such as KldB and ISCO. The proposed methodology integrates phrase matching, classification models, and ontology-based linking via the German Labor Market Ontology (GLMO), thereby enabling cross-referencing of documents by occupation and educational structure. The proposed workflow is designed to support longitudinal studies and promote interoperability across fragmented archival collections. This offers a scalable solution for labor market and education research." (Authors' abstract, BIBB-Doku)	de
dc.description.statementofresponsibility	Thomas Reiser, Jens Dörpinghaus, Petra Steiner, Michael Tiemann	de
dc.description.version	referiert	de
dc.format.extent	Seite 6-15	de
dc.format.illustration	Illustrationen	de
dc.format.illustration	Fotografien	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784681
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	Proceedings of the Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning (CHAI+FCR 2025), September 16, 2026, co-located with 48th German Conference on Artificial Intelligence (KI 2025), September 16–19, 2025. Potsdam, Germany / Sylvia Melzer [Hrsg.] ; Hagen Peukert [Hrsg.] ; Stefan Thiemann [Hrsg.] ; Magnus Bender [Hrsg.] ; Özgür L. Özçep [Hrsg.] ; Nele Russwinkel [Hrsg.] ; Kai Sauerwald [Hrsg.] ; Diedrich Wolter [Hrsg.]
dc.rights	Namensnennung 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.classification	S 6 Berufsbereiche	de
dc.subject.classification	T 1.2 Historische Berufsbildungsforschung	de
dc.subject.ddc	370	de
dc.subject.ddc	300	de
dc.subject.other	Berufsforschung	de
dc.subject.other	Historische Berufsbildungsforschung	de
dc.subject.other	Berufsklassifikation	de
dc.subject.other	Textanalyse	de
dc.subject.other	Texterkennung	de
dc.title	Linking vocational archive data using an occupations and educations centric ontology	de

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Proceedings of the Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning (CHAI+FCR 2025), September 16, 2026, co-located with 48th German Conference on Artificial Intelligence (KI 2025), September 16–19, 2025. Potsdam, Germany / Sylvia Melzer [Hrsg.] ; Hagen Peukert [Hrsg.] ; Stefan Thiemann [Hrsg.] ; Magnus Bender [Hrsg.] ; Özgür L. Özçep [Hrsg.] ; Nele Russwinkel [Hrsg.] ; Kai Sauerwald [Hrsg.] ; Diedrich Wolter [Hrsg.]
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