D3.1 Initial AutoML Data Warehouse and Semantic Knowledge Graph

This deliverable provides the initial implementation of the AutoML Data Warehouse and Semantic Knowledge Graph, two central components enabling the data, storage, and semantic foundations of the ALFIE platform. Its objective is to establish a coherent and interoperable infrastructure that supports trustworthy, transparent, and ethically aligned AI development. The work carried out includes the consolidation of all available project datasets, both public and pilot-provided, into a unified warehouse with automated metadata extraction, versioning, and orchestrated data flows. In parallel, a structured semantic pipeline was developed to transform ethical and legal discourse into an ontology-aligned knowledge graph enriched with provenance, evidence, and confidence information. Together, these components form the backbone through which data, models, bias assessments, and explainability outputs are stored, managed, and retrieved. The results of this deliverable provide essential infrastructure for all subsequent stages of the ALFIE platform. They ensure that AI workflows can be conducted with full traceability, that ethical knowledge can be systematically leveraged in assessments, and that future extensions, such as expanded dataset integration and enhanced semantic reasoning, can build on a stable and compliant foundation.