UniDisc learns cross-modal representations from data lake context using a heterogeneous graph to unify natural language and table-based data discovery across diverse intents.
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Unified Data Discovery across Query Modalities and User Intents
UniDisc learns cross-modal representations from data lake context using a heterogeneous graph to unify natural language and table-based data discovery across diverse intents.
- From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing