Logo des Repositoriums
 
Konferenzbeitrag

Extending the German Labor Market Ontology with Online Data

Vorschaubild nicht verfügbar

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2024

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

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 and occupations, and between related qualifications have been established.

Beschreibung

Martić, Diana; Fischer, Andreas; Dörpinghaus, Jens (2024): Extending the German Labor Market Ontology with Online Data. INFORMATIK 2024. DOI: 10.18420/inf2024_175. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-746-3. pp. 2019-2030. Digitalization and AI for and in Education and Educational Research (DAI-EaR'24). Wiesbaden. 24.-26. September 2024

Zitierform

Tags