English(EN) NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning

NeurOWL框架使用LLM进行不完整的本体推理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-20 04:00

研究人员开发了NeurOWL，一个新颖的神经符号框架，旨在解决不完整OWL本体中的推理挑战。该框架集成了大型语言模型（LLMs）和本体嵌入，以联合验证合理的子类关系并识别缺失的公理。NeurOWL在包括医疗保健和生物信息学在内的各种现实世界领域展示了强大的性能。 AI

影响通过集成LLMs，增强了知识表示系统中语义推理的能力。

排序理由该条目是一篇研究论文，详细介绍了一种新的本体推理框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Hui Yang, Jiaoyan Chen, Yiping Song, Renate Schmidt, Wen Zhang · 2026-07-20 04:00

NeurOWL：一种基于LLM的神经符号框架，用于不完整的OWL本体推理

arXiv:2607.15776v1 Announce Type: new Abstract: OWL ontologies provide a formal knowledge representation framework that enables semantic reasoning, and have been widely adopted across domains such as healthcare and bioinformatics. In practice, however, real-world ontologies are o…