{
  "id": 15760,
  "url": "https://arxiv.org/abs/2607.29553v1",
  "title": "COntExt: Towards Context-Aware Ontology Extension from Operational Metrics",
  "summary": "Organizations increasingly define operational metrics in structured, machine-readable formats to monitor systems, processes, and compliance. These metric definitions implicitly encode domain knowledge, such as referencing concepts, properties, and relationships, that often extends what is captured in formal ontologies. Yet the connection between operational metric catalogues and ontological knowledge remains manual, ad-hoc, and labor-intensive. We present COntExt, a framework for context-aware o",
  "authors": "Hussain Hussain, Stefan Schöberl, Angelika Schneider, Verena Geist",
  "category": "research",
  "topics": "regulation,jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-31T15:46:02.000Z",
  "fetched_at": "2026-08-03T05:10:47.622Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/15760",
  "original_url": "https://arxiv.org/abs/2607.29553v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}