Vers un cadre ontologique pour la gestion des comp{\'e}tences : {\`a} des fins de formation, de recrutement, de m{\'e}tier, ou de recherches associ{\'e}es

TL;DR

This paper introduces an ontology-based framework for competence management to improve matching, personalization, and career planning in a rapidly evolving labor market.

Contribution

It proposes a novel ontological model for representing competencies, occupations, and training, enabling semantic reasoning and better integration with labor market needs.

Findings

Enhanced automation of competence-to-job matching

Improved personalization of training recommendations

Potential applications in career planning and recruitment

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.