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New method infers property graph schemas after transformations

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new method for inferring schema constraints in property graphs after transformations. This approach uses a reasoning procedure that takes an input schema and a transforming query to infer an output schema, without needing to analyze graph instances. The system maps property graphs to RDF, ProGS to SHACL, and G-CORE to SPARQL CONSTRUCT queries, enabling schema inference through efficient Description Logic reasoners. AI

RANK_REASON The cluster contains an academic paper detailing a novel research method. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.AI →

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New method infers property graph schemas after transformations

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The cluster contains an academic paper detailing a novel research method. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

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

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

    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 ·

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

    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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