arXiv (All)
open access
DIADA: Automatic Data Composition in Data Lakes
Data lakes contain a plethora of attributes scattered across many tables that, when combined, provide enhanced assets for data analysis. Nonetheless, deciding which attributes belong together in meaningful relations remains a manual, per-task effort. Merging by joinability alone provides no guarante
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- DIADA: Automatic Data Composition in Data Lakes#1169662
- Data Descriptive Language for Shared Data#137099
- Ontological Deep Data Cleaning#387051
- An ontological investigation over human relations in linked data#774434
- CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization#997069
Record · ID 1156917
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive