Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline

Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline

IntroductionThe labor market is rapidly evolving, leading to a mismatch between existing Knowledge, Skills, and Abilities (KSAs) and future occupational requirements. Reports from organizations like the World Economic Forum and the OECD emphasize the need for dynamic skill identification. This paper...

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Bibliographic Details
Main Authors: Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Artificial Intelligence
Subjects:
artificial intelligence
dynamic taxonomy
educational innovation
future skills
natural language processing
named entity recognition
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1579998/full
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