Tiemann, MichaelDörpinghaus, JensHariharapura Shivashankar, VenkateshDorau, RalfKlein, MaikeKrupka, DanielWinter, CorneliaGergeleit, MartinMartin, Ludger2024-10-212024-10-212024978-3-88579-746-3https://dl.gi.de/handle/20.500.12116/45157In 2018, BIBB introduced a legacy tools taxonomy for labor market research which is enhanced utilizing the Computer Science Ontology (CSO) and dual-language translation to incorporate additional information. The main research question is if it is feasible to enrich or rebuild an existing taxonomy on the basis of CSO. This poster presents a novel approach to enrich the CSO with data from DBpedia, creating a dual-language ontology enriched with tools and entities. This includes an ML-based approach to identify tools and compares the results with the legacy work tools taxonomy to identify the gaps.enOntology MappingDual-lingual OntologiesLabor Market ResearchDigitalizationToolsText/Conference Paper10.18420/inf2024_1791617-5468