S-PIC4CHU: Semantics-based Provenance, Integrity, and Curation for Consistent, High-quality, and Unbiased data science

The S-PIC4CHU project aims to develop semantics-based models to automate data preparation. Its innovation is enriching noisy, real-world data with domain knowledge (ontologies/knowledge graphs) to ensure efficient, high-quality, and scalable data analysis.

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