Mapping the labour landscape Ontology learning in the digital era

This dissertation focuses on two broad problem domains, namely: the influence of the transversality of worker qualities on occupation mobility, changes in semantic representations, wage premiums and Ontology Learning for labour market ontologies and taxonomies. For the first problem domain, we demonstrate the usefulness of the transversality of worker qualities for identifying changing concepts in labour market ontology. We further demonstrate the utility of transversality and the impact of having transversal and specific worker qualities on wages. In the second problem domain, we show that more traditional pattern-based and statistical methodologies and language models can help alleviate the problem by (semi-) automating some of the processes in ontology and taxonomy development and maintenance.