Linked Labor Market Data: Towards a novel data housing strategy

Hein, Kristine [Verfasser]

Linked Labor Market Data: Towards a novel data housing strategy

bibb.id	784202
dc.contributor.author	Hein, Kristine [Verfasser]	de
dc.date.accessioned	2025-12-03T08:43:32Z
dc.date.available	2025-12-03T08:43:32Z
dc.date.issued	2024
dc.description.abstract	"The labor market is a domain rich in diverse data structures, both quantitative and qualitative, and numerous applications. This leads to challenges in the domain of data warehouse architecture and linked data. In this context, only a few approaches exist to generate linked data sets. For example, the multilingual classification system of European Skills, Competences, Qualifications, and Occupations (ESCO) and the German Labor Market Ontology (GLMO) serve as prominent examples showcasing the pivotal role of ontologies." (Author‘s abstract; BIBB-Doku)	de
dc.description.statementofresponsibility	Kristine Hein	de
dc.description.version	referiert	de
dc.format.extent	Seite 355-362	de
dc.format.illustration	Illustrationen	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	DOI:10.15439/2024F3577
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784202
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	Annals of Computer Science and Information Systems, (2024), Vol. 39: Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), September 8–11, 2024. Belgrade, Serbia / Marek Bolanowski [Hrsg.] ; Maria Ganzha [Hrsg.] ; Leszek Maciaszek [Hrsg.] ; Marcin Paprzycki [Hrsg.] ; Dominik Ślęzak [Hrsg.]
dc.source.uri	https://annals-csis.org/Volume_39/drp/pdf/3577.pdf (Volltext)	de
dc.subject.classification	G 1.2 Arbeitsmarkt	de
dc.subject.ddc	370	de
dc.subject.other	Arbeitsmarkt	de
dc.subject.other	Arbeitsmarktforschung	de
dc.subject.other	Datenaufbereitung	de
dc.subject.other	Datenanalyse	de
dc.subject.other	Berufsklassifikation	de
dc.subject.other	ESCO	de
dc.title	Linked Labor Market Data: Towards a novel data housing strategy	de

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Annals of Computer Science and Information Systems, (2024), Vol. 39: Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), September 8–11, 2024. Belgrade, Serbia / Marek Bolanowski [Hrsg.] ; Maria Ganzha [Hrsg.] ; Leszek Maciaszek [Hrsg.] ; Marcin Paprzycki [Hrsg.] ; Dominik Ślęzak [Hrsg.]
aktuell und lesenswert Ausgabe 3/2025- SBB und Zeitschriftenartikel

Linked Labor Market Data: Towards a novel data housing strategy

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