As a result of transformation processes, the German labor market is highly
dependent on vocational training, retraining and con- tinuing 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.

该研究介绍了一种自动检测德国培训机构和广告招聘中与职业培训有关的学历、职业经验、前往学徒和技能等要求的新方法，以更好地匹配培训的需求和提供，该方法将多种方法相结合，并提供了教育同义词的映射和基于规则匹配的方法。