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SHACLens: a visualization workflow for SHACL violation exploration in knowledge graphs

A visualization workflow for exploring SHACL violations in large knowledge graphs.

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Frontiers | SHACLens: a visualization workflow for SHACL violation exploration in knowledge graphs

frontiersin.org
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The paper presents SHACLens, an interactive visualization workflow that links ontology, instance data, and violation reports across multiple coordinated views. The workflow is designed to help analysts identify co-occurring errors and their likely upstream causes.

An evaluation of the workflow using a transcriptomics dataset showed that it efficiently surfaced repeated sets of errors due to missing objects and schema inconsistencies.

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Abstract

The paper presents SHACLens, an interactive visualization workflow that links ontology, instance data, and violation reports across multiple coordinated views. The workflow is designed to help analysts identify co-occurring errors and their likely upstream causes. An evaluation of the workflow using a transcriptomics dataset showed that it efficiently surfaced repeated sets of errors due to missing objects and schema inconsistencies.

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Aramai Editorial

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Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

shaclesknowledge graphsviolation explorationvisualization workflowdata analysisKnowledge GraphsSchemas & ShapesOntology & TaxonomyContent Engineering
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SHACLens: a visualization workflow for SHACL violation exploration in knowledge graphs | Aramai