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Xehetasun bibliografikoak
Egile Nagusiak: Shimomura, Larissa C., Yakovets, Nikolay, Fletcher, George H. L.
Formatua: Recurso digital
Hizkuntza:
Argitaratua: Zenodo 2026
Gaiak:
graph generating dependencies
property graph profiling
knowledge graph
data quality
interactive visualization
Sarrera elektronikoa:https://doi.org/10.5281/zenodo.20430855
Etiketak: Etiketa erantsi
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Aurkibidea:
  • <p><strong>ProGGD</strong> is an interactive system for profiling property graphs using <strong>Graph Generating Dependencies (GGDs)</strong>. It pairs a React/TypeScript frontend with a Python FastAPI backend, and uses <a href="https://github.com/avantlab/ggdminer">GGDMiner</a> for GGD discovery and <a href="https://github.com/avantlab/gcore-spark-ggd">sHINER</a> as a G-Core/Spark validation backend. The four-panel interface surfaces discovered GGDs alongside validated and non-validated example data. ProGGD is the user-facing component of SciLake's GGD tooling for the Knowledge Graph Creation Assistant; in the SciLake Cancer pilot, it is used together with sHINER for entity resolution between the Clinical Knowledge Graph and the OpenAIRE Graph.</p>

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