English(EN) Recovering Explanations from Transformed Rule-Based Ontologies

新方法从转换后的版本重建原始本体规则

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-10 04:00

研究人员开发了一种方法，可以从Datalog规则推理器使用的转换版本中重建原始的基于规则的本体。此过程旨在提供可理解的、基于初始规则而非优化后的重写规则的推理事实的解释。该研究分析了此重建问题的计算复杂性，并确定了适用于指定所涉及的证明转换的特定语言。 AI

影响这项研究可以提高依赖于基于规则的本体和知识图谱的AI系统的可解释性。

排序理由该集群包含一篇学术论文，详细介绍了一种重建本体规则的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该集群包含一篇学术论文，详细介绍了一种重建本体规则的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.AI TIER_1 English(EN) · Alex Ivliev, Markus Kr\"otzsch, Maximilian Marx · 2026-08-10 04:00

从转换后的基于规则的本体中恢复解释

arXiv:2608.06399v1 Announce Type: cross Abstract: Datalog rules are often used to define ontologies over Knowledge Graphs. Rule reasoners routinely optimise such ontologies by rewriting their rules into a form that can be evaluated more efficiently. These transformations preserve…