用本体框架解决能力管理中的语义难题，提升匹配与推荐效率
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
- 基于本体构建能力、职业与培训的统一语义模型
- 实现岗位与能力自动匹配，支持个性化学习推荐
- 适合教育、招聘及职业规划领域应用
技术进步和数字经济的快速发展，要求持续发展能力和不断适应。传统能力管理系统缺乏互操作性、适应性和语义理解能力，难以将个人能力与劳动力市场需求及培训项目对齐。本文提出一种基于本体的能力管理框架，实现能力、职业和培训项目的结构化表示。通过本体模型和语义推理，该框架旨在提升能力-岗位匹配的自动化程度、学习推荐的个性化水平以及职业规划的科学性。研究讨论了框架的设计、实现及其在培训项目、求职和人才发现中的潜在应用。
原文摘要 · Abstract (English)
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.
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