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Extending the German Labor Market Ontology with Online Data

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dc.contributor.authorMartić, Diana
dc.contributor.authorFischer, Andreas
dc.contributor.authorDörpinghaus, Jens
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:18Z
dc.date.available2024-10-21T18:24:18Z
dc.date.issued2024
dc.description.abstractThe 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.en
dc.identifier.doi10.18420/inf2024_175
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45153
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectLabor Market research
dc.subjectOntology Completion
dc.subjectWeb Mining
dc.titleExtending the German Labor Market Ontology with Online Dataen
dc.typeText/Conference Paper
gi.citation.endPage2030
gi.citation.publisherPlaceBonn
gi.citation.startPage2019
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleDigitalization and AI for and in Education and Educational Research (DAI-EaR'24)

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