{
  "id": 5069,
  "url": "https://arxiv.org/abs/2605.01582v1",
  "title": "KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation",
  "summary": "Authoritative competency frameworks such as ESCO, ROME, and O*NET are essential for aligning education with labor market needs, yet their technical complexity and structural heterogeneity hinder practical adoption by educators. This paper introduces SkillGraph-Service, an interoperable microservice designed to bridge this gap by unifying these resources into a provenance-preserving Knowledge Graph (KG). Adopting a KG-first, LLM-fallback architecture, the system combines symbolic rigor with sub-s",
  "authors": "Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge",
  "category": "research",
  "topics": "jobs-economy,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-02T19:07:56.000Z",
  "fetched_at": "2026-07-14T16:31:31.208Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5069",
  "original_url": "https://arxiv.org/abs/2605.01582v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}