arXiv · cs.AI · Furqan Nasir, Muhammad Atif Saeed, Muhammad Ehsan, Sher Jeel Ahmad, Abdul Moiz Altaf · 11 小时前模型评分37
OntoKG-EQ：面向分析型知识图谱的证据边界审计
OntoKG-EQ: Evidence-boundary auditing for analytical knowledge graphs
导读
OntoKG-EQ 提出一种可执行审计接口，把能力问题要求与对图内观测、声明结论支持和实际交付证据的审计连接起来，用有界声明式解释器区分数值的正、假、未知状态。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学
事件类型：研究发布
证据摘录
- “OntoKG-EQ connects competency-question requirements to an executable audit of ambient observations, declared finding support and delivered evidence.”
- “Transfer requires a disclosed source adapter and arithmetic compilation, but no change to the core interpreter.”
- “Historical ratings measure preference only; objective human audit benefits and independent production deployment remain untested.”
来源：arXiv · cs.AI · arxiv.org