English(EN) When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

新研究详细介绍了使用LLM助手进行本体验证的挑战

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-23 14:17

一篇新论文探讨了本体能力问题（CQ）验证中的挑战，该过程用于评估本体是否准确地模拟了其预期目的。研究强调，由于需要精确解释语言细微差别并与形式本体结构对齐，CQ验证通常耗时且容易出错。该研究让19名参与者使用LLM助手进行本体评估，揭示了需要工具来完善CQ并防止本体工程后期出现歧义或复杂性。 AI

影响强调了需要更好的工具来管理本体工程中自然语言处理的歧义。

排序理由该集群包含一篇在arXiv上发表的讨论研究结果的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskis\"arkk\"a, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese · 2026-06-24 04:00

When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

arXiv:2606.24619v1 Announce Type: new Abstract: Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natural language questions to determine whether the intended purpose of the ontology …
arXiv cs.AI TIER_1 English(EN) · Andrea Giovanni Nuzzolese · 2026-06-23 14:17

When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natural language questions to determine whether the intended purpose of the ontology has been properly modelled. However, CQ-verifica…