Abstract
Ontologies or databases describing occupations in terms of competences or skills are an important resource for a number of applications. Exploiting large knowledge graphs thus becomes a promising direction to update those ontologies with entities of the latter, which may be updated faster, especially in the case of crowd-sourced resources. Here we report a first assessment of the potential of that strategy matching knowledge elements in ESCO to Wikidata using NER and document similarity models available at the Spacy NLP libraries. Results show that the approach may be effective, but the use of pre-trained language models and the short texts included with entities (labels and descriptions) does not result in sufficient quality for a fully automated process.
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González, L., García-Barriocanal, E., Sicilia, MA. (2021). Entity Linking as a Population Mechanism for Skill Ontologies: Evaluating the Use of ESCO and Wikidata. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_12
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DOI: https://doi.org/10.1007/978-3-030-71903-6_12
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