is a Knowledge Graph.
MetaboKG is an analysis-centric knowledge graph framework for untargeted metabolomics. It transforms public mass-spectrometry repository outputs, GNPS molecular-networking jobs, library annotations, confidence evidence, sample metadata, and environmental and taxonomic context into RDF knowledge graphs that preserve links between annotations and their analytical artifacts, samples, and studies.
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| ID | Name | URL | Category | Format | Description |
|---|---|---|---|---|---|
| metabokg.graph ⚠ | MetaboKG RDF Graph | MetaBoKG | GraphProduct | ❔ | RDF knowledge graph materialized by t... |
| metabokg.workflow | MetaBoKG Transformation Workflow | main.py (1.6 KB) | ProcessProduct | http | Source-code workflow that fetches Pub... |
| metabokg.schema | MetaBoKG RDF Schema | Schema | DataModelProduct | ❔ | Turtle schema files defining MetaBoKG... |
| metabokg.rml_mappings | MetaBoKG RML Mappings | rml | MappingProduct | http | RML mappings and configuration templa... |
MetaboKG is an analysis-centric knowledge graph framework for untargeted metabolomics. It connects public repository metadata, GNPS molecular-networking results, spectral annotations, confidence evidence, sample context, and controlled vocabulary terms so that metabolomics annotations can be explored across analyses with SPARQL.
The public repository provides the transformation workflow, RDF schema files, RML mappings, Virtuoso loading scripts, and competency-question queries. The demonstrated graph materializes per-job Turtle files locally and loads them into named Virtuoso graphs; no static public graph archive or hosted endpoint was available at curation time.
Created: June 02, 2026 | Last modified: June 02, 2026