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QSE: Extraction of Validating Shapes from Very Large Knowledge Graphs

Proposes a Quality Shapes Extraction approach for extracting validating shapes in very large knowledge graphs.

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QSE: Extraction of Validating Shapes from Very Large Knowledge Graphs

By Rabbani, Lissandrini, HoseVLDB Endowment
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The paper presents the QSE approach, which uses SHACL/ShEx to extract validating shapes from large knowledge graphs. It provides both exact and approximate solutions with confidence metrics. The authors achieve significant speed improvements and spurious shape reductions on DBpedia.

Abstract

The paper presents the QSE approach, which uses SHACL/ShEx to extract validating shapes from large knowledge graphs. It provides both exact and approximate solutions with confidence metrics. The authors achieve significant speed improvements and spurious shape reductions on DBpedia.

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knowledge graph extractionvalidating shapesSHACL/ShExlarge knowledge graphsperformance improvementKnowledge GraphsSchemas & ShapesGraph DatabasesContent Operations
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