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新方法将 OWL 公理集成到 SHACL 约束中,以实现高效的 RDF 图验证

研究人员开发了一种新方法,可将 OWL 公理直接集成到 SHACL 约束中,从而简化了包含 OWL 本体(ontologies)的 RDF 图的验证过程。该方法构建了一个翻译器,以 SHACL 形状(shapes)和 OWL EL$^-$ 本体作为输入,生成任何标准 SHACL 验证器都可以评估的 SHACL 约束。评估表明,与传统的顺序推理和验证过程相比,该方法在识别违规行为方面更有效。 AI

排序理由 该集群包含一篇学术论文,详细介绍了一种将 OWL 公理集成到 SHACL 约束中的新颖方法。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.AI 阅读 →

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新方法将 OWL 公理集成到 SHACL 约束中,以实现高效的 RDF 图验证

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该集群包含一篇学术论文,详细介绍了一种将 OWL 公理集成到 SHACL 约束中的新颖方法。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Anouk Oudshoorn, Piotr Gorczyca, D\"orthe Arndt ·

    重写一次,随处验证:生成 OWL 感知的 SHACL 约束(扩展版)

    arXiv:2608.14104v1 Announce Type: cross Abstract: The Shapes Constraint Language (SHACL) is a W3C recommendation to express syntactic constraints, called shapes, on RDF graphs. SHACL validators are used to test whether a given graph adheres to such a shape. However, RDF graphs of…