Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es
Journal:
arXiv
Published Date:
Jul 8, 2025
Abstract
The rapid transformation of the labor market, driven by technological
advancements and the digital economy, requires continuous competence
development and constant adaptation. In this context, traditional competence
management systems lack interoperability, adaptability, and semantic
understanding, making it difficult to align individual competencies with labor
market needs and training programs. This paper proposes an ontology-based
framework for competence management, enabling a structured representation of
competencies, occupations, and training programs. By leveraging ontological
models and semantic reasoning, this framework aims to enhance the automation of
competence-to-job matching, the personalization of learning recommendations,
and career planning. This study discusses the design, implementation, and
potential applications of the framework, focusing on competence training
programs, job searching, and finding competent individuals.
