Web mining of online resources for German labor market research and education: finding the ground truth?

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

Web mining of online resources for German labor market research and education: finding the ground truth?

bibb.id	782181
bibb.participation	BIBB-Mitarbeiter	de
bibb.voevzlink	https://res.bibb.de/vet-repository_782181
dc.contributor.author	Fischer, Andreas [Verfasser]	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.date.accessioned	2024-02-26T14:06:24Z
dc.date.available	2024-02-26T14:06:24Z
dc.date.issued	2024
dc.description.abstract	„The labor market is highly dependent on vocational and academic education, training, retraining, and further education in order to master challenges such as advancing digitalization and sustainability. Further training is a key factor in ensuring a qualified workforce, the employability of all employees, and, thus, national competitiveness and innovation. In the contribution at hand, we explore an innovative way to derive knowledge about learning pathways by connecting the dots from different data sources of the German labor market. In particular, we focus on the web mining of online resources for German labor market research and education, such as online advertisements, information portals, and official government websites. A key question for working with different data sources is how to find the ground truth and common data structures that can be used to make the data interoperable. We discuss how to classify and summarize web data from different platforms and which methods can be used for extracting data, entities and relationships from online resources on the German labor market to build a network of educational pathways. Our proposed solution is based on the classification of occupations (KldB) and related document codes (DKZ), and combines natural language processing and knowledge graph technologies. Our research provides the foundation for further investigation into educational pathways and linked data for labor market research. While our work focuses on German data, it is also useful for other German-speaking countries and could easily be extended to other languages such as English.“ (authors‘ abstract; BIBB-Doku)	de
dc.description.statementofresponsibility	Andreas Fischer and Jens Dörpinghaus	de
dc.description.version	referiert	de
dc.format.extent	Seite 51-67	de
dc.format.illustration	Illustrationen	de
dc.format.illustration	Fotografien	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Zeitschriftenaufsatz	de
dc.identifier.uri	DOI:10.3390/knowledge4010003
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/782181
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	Knowledge
dc.relation.ispartofvolume	4 (2024), H. 1
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	Arbeitsmarkt	de
dc.subject.other	Arbeitsmarktforschung	de
dc.subject.other	Datengewinnung	de
dc.subject.other	Datenanalyse	de
dc.subject.other	Datenmanagement	de
dc.subject.other	Berufsklassifikation	de
dc.subject.other	Bildungsverlauf	de
dc.title	Web mining of online resources for German labor market research and education: finding the ground truth?	de

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