Extending the German labor market ontology with online data

Martić, Diana [Verfasser]; Fischer, Andreas [Verfasser]; Dörpinghaus, Jens [Verfasser]

Extending the German labor market ontology with online data

bibb.id	783378
bibb.participation	BIBB-Mitarbeiter	de
dc.contributor.author	Martić, Diana [Verfasser]	de
dc.contributor.author	Fischer, Andreas [Verfasser]	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.date.accessioned	2025-03-19T10:53:15Z
dc.date.available	2025-03-19T10:53:15Z
dc.date.issued	2024
dc.description.abstract	„The overall aim of this paper is to increase the comprehensiveness of the German Labour Market Ontology (GLMO). The GLMO provides entities for qualifications, such as occupations and training programs, as well as tools and skills. However, like most knowledge graphs, the GLMO provides only partially complete relationships between entities. This, for instance, affects the mappings of related tools, skills, and qualifications. To enrich the GLMO, publicly available data from the platforms of the Federal Employment Agency are extracted and combined with the GLMO. This integration process has led to the creation of additional entity classes for occupational metadata, including activity fields or activity areas. Moreover, additional links between skills.“ (authors‘ abstract; BIBB-Doku)	de
dc.description.statementofresponsibility	Diana Martić, Andreas Fischer, and Jens Dörpinghaus	de
dc.description.version	referiert	de
dc.format.extent	Seite 2019-2030	de
dc.format.illustration	Illustrationen	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	DOI:10.18420/inf2024_175
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/783378
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	INFORMATIK 2024 - Lock in or log out? Wie digitale Souveränität gelingt; 24.-26. September 2024 Wiesbaden / Maike Klein [Hrsg.] ; Daniel Krupka [Hrsg.] ;Cornelia Winter [Hrsg.] ; Martin Gergeleit [Hrsg.] ;Martin Ludger [Hrsg.]
dc.rights	Namensnennung 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.classification	G 1.2 Arbeitsmarkt	de
dc.subject.ddc	370	de
dc.subject.other	Arbeitsmarktforschung	de
dc.subject.other	Datenanalyse	de
dc.subject.other	Qualifikationsprofil	de
dc.subject.other	Tätigkeitsfelder	de
dc.title	Extending the German labor market ontology with online data	de

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INFORMATIK 2024 - Lock in or log out? Wie digitale Souveränität gelingt; 24.-26. September 2024 Wiesbaden / Maike Klein [Hrsg.] ; Daniel Krupka [Hrsg.] ;Cornelia Winter [Hrsg.] ; Martin Gergeleit [Hrsg.] ;Martin Ludger [Hrsg.]
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