New system auto-generates schemas for multi-source data retrieval

Researchers have developed a system that automatically generates an executable schema from diverse data sources, including tables, documents, and semi-structured files. This schema acts as a shared contract to construct knowledge graphs and facilitate retrieval across these varied formats. The system leverages LLMs for schema discovery, structural analysis for key inference, and a provenance-aware knowledge graph for extraction and linking, ultimately improving question-answering benchmarks. AI

IMPACT Enables more robust and automated knowledge graph construction and question-answering across disparate data sources.

RANK_REASON This is a research paper detailing a new system for data schema generation and retrieval. [lever_c_demoted from research: ic=1 ai=1.0]

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• Saisri Padmaja Jonnalagedda

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