Getting migrants ready for vocational education and training in Germany

Bergseng, Benedicte; Degler, Eva; Lüthi, Samuel

doi:10.1787/090e6616-en

Cited by 2 publications

(1 citation statement)

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“…Another concept of German skills was introduced by MYSKILLS, see [36,37]. It is primarily intended to define and discuss skills needed for a particular profession in the context of "Unlocking the Potential of Migrants in Germany" [38]. It contains a hierarchical definition of skills for ca.…”

Section: Labor Market Data: Occupations and Skillsmentioning

confidence: 99%

Challenges of Automated Identification of Access to Education and Training in Germany

Dörpinghaus,

Samray,

Helmrich

2023

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The German labor market relies heavily on vocational training, retraining, and continuing education. In order to match training seekers with training offers and to make the available data interoperable, we present a novel approach to automatically detect access to education and training in German training offers and advertisements and identify open research questions and areas for further research. In particular, we focus on (a) general education and school leaving certificates, (b) work experience, (c) previous apprenticeship, and (d) a list of skills provided by the German Federal Employment Agency. This novel approach combines several methods: First, we provide technical terms and classes of the education system that are used synonymously, combining different qualifications and adding obsolete terms. Second, we provide rule-based matching to identify the need for work experience or education. However, not all qualification requirements can be matched due to incompatible data schemas or non-standardized requirements such as initial tests or interviews. Although there are several shortcomings, the presented approach shows promising results for two data sets: training and retraining advertisements.

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Section: Labor Market Data: Occupations and Skillsmentioning

confidence: 99%

Challenges of Automated Identification of Access to Education and Training in Germany

Dörpinghaus,

Samray,

Helmrich

2023

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Towards a German labor market ontology: Challenges and applications

Dörpinghaus,

Binnewitt,

Winnige

et al. 2023

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The labor market is an area with diverse data structures and multiple applications, such as matching job seekers with the right training or job. For this reason, the multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO) is a good example of the central role of ontologies in this area. However, ESCO cannot provide all the details of local labor market needs and does not provide links to other hierarchies of competences. For example, other taxonomies of occupations and skills are widely used in German-speaking countries, but they are not in a state where they are easily accessible for interoperability and reasoning. In this paper, we present a first version of a German Labor Market Ontology (GLMO) that uses ESCO as a top-level ontology for the target domain. This makes it highly interoperable and comparable to existing ontologies by providing details for the regional structures in German-speaking countries. In addition, we present a detailed evaluation of the provided data and applications, as well as an extensive discussion of future work.

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Getting migrants ready for vocational education and training in Germany

Cited by 2 publications

References 0 publications

Challenges of Automated Identification of Access to Education and Training in Germany

Challenges of Automated Identification of Access to Education and Training in Germany

Towards a German labor market ontology: Challenges and applications

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