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English(EN) Transforming Shape Schemas with Composable Property-Graph Queries (Extended Version)

新方法在转换后推断属性图模式

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种在新方法，用于在转换后推断属性图中的模式约束。该方法使用一种推理过程，该过程接受输入模式和转换查询以推断输出模式，而无需分析图实例。该系统将属性图映射到RDF，将ProGS映射到SHACL，并将G-CORE映射到SPARQL CONSTRUCT查询，从而能够通过高效的描述逻辑推理器进行模式推断。 AI

排序理由 该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=2 ai=0.4]

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新方法在转换后推断属性图模式

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该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=2 ai=0.4]
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Philipp Seifer, Daniel Hern\'andez, Ralf L\"ammel, Steffen Staab ·

    使用可组合属性图查询转换形状模式（扩展版）

    arXiv:2606.14309v1 Announce Type: cross Abstract: Property graphs may be constrained by schemas that inform both query engines and human users about the shape of valid data, enforcing a contract between data provider and consumer. Composable property-graph queries transform input…

  2. arXiv cs.AI TIER_1 English(EN) · Steffen Staab ·

    使用可组合属性图查询转换形状模式（扩展版）

    Property graphs may be constrained by schemas that inform both query engines and human users about the shape of valid data, enforcing a contract between data provider and consumer. Composable property-graph queries transform input graphs into output graphs. Then, the question ari…

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