Rule-based detection of access to education and training in Germany

TL;DR

This paper introduces a rule-based system to automatically detect access requirements for education and training in German job advertisements, combining synonym mapping and pattern matching to improve matching accuracy.

Contribution

It presents a novel approach that integrates synonym mapping and rule-based matching to identify access requirements in German training offers and advertisements.

Findings

Effective in identifying access requirements in training ads

Handles various education degrees and experience indicators

Shows promising results despite some limitations

Abstract

As a result of transformation processes, the German labor market is highly dependent on vocational training, retraining and continuing education. To match training seekers and offers, we present a novel approach towards the automated detection of access to education and training in German training offers and advertisements. We will in particular focus on (a) general school and education degrees and schoolleaving certificates, (b) professional experience, (c) a previous apprenticeship and (d) a list of skills provided by the German Federal Employment Agency. This novel approach combines several methods: First, we provide a mapping of synonyms in education combining different qualifications and adding deprecated terms. Second, we provide a rule-based matching to identify the need for professional experience or apprenticeship. However, not all access requirements can be matched due to incompatible data schemata or non-standardizes requirements, e.g initial tests or interviews. While we can identify several shortcomings, the presented approach offers promising results for two data sets: training and re-training advertisements.