# Vers un cadre ontologique pour la gestion des comp'etences : `a des fins de formation, de recrutement, de m'etier, ou de recherches associ'ees

arXiv: https://arxiv.org/abs/2507.05767 · HTML: https://mlsanity.com/paper/2507.05767/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Jul 2025.

## Built on by (most cited first, 3 of 3)

- [Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs](https://mlsanity.com/paper/2510.11313/) (2025)
- [KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation](https://mlsanity.com/paper/2605.01582/) (2026)
- [From Student Risk Prediction to SC2R: Semantics-Constrained Counterfactual Recourse for Educational Decision Support](https://mlsanity.com/paper/2608.17618/) (2026)

## Abstract (arXiv)

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.