Aug 2026· Proceedings of the VLDB Endowment· Vol 19, pp. 4754-4757· 0 citations· 14 references
Abstract
QueryCraft is an interactive MongoDB interface for non-relational NoSQL document databases through which users ask natural language questions, inspect generated aggregation pipelines, and execute queries without manually writing MongoDB code. The interface includes a nested schema browser, an inspectable program view, a formatted results panel, and a local history panel for reviewing previous attempts. The text-to-NoSQL generator is replaceable; this implementation uses the Schema-as-Data Grounding (SAG) solver from the Text-to-NoSQL Dataset (TEND) release, with schema grounding, guarded decoding, execution repair, and result consistency. The demo exposes generated pipelines, execution results, runtime errors, and solver metadata, giving users and researchers a concrete view of successful queries and failure cases.
Building automation systems are increasingly represented as semantic knowledge graphs (KGs) using ontologies such as Brick and ASHRAE 223P, creating a machine-readable substrate for artificial-intelligence applications. One promising application is translating natural-language questions into SPARQL (text-to-SPARQL), wh...
This work presents an automated approach for generating query context for relational databases that defines query flows that capture common patterns of data retrieval and analysis questions, systematically generates data models by traversing these flows, and instantiates them with specific values sampled from the datab...
Alekh Jindal, J. Pandey, C. Pavlopoulou et al.· 0 citations
SafeQL is proposed, a search-based refinement paradigm that redefines the role of the DBMS as an active guide in the refinement process, and significantly improves execution accuracy and efficiency compared to regeneration-based methods.
Geonho Lee, Min-Soo Kim· Proceedings of the VLDB Endo...· 0 citations
The Natural Language to SQL Query Generator is an intelligent system designed to allow users to retrieve information from databases by asking questions in simple natural language. Traditionally, users need knowledge of SQL syntax to interact with relational databases. This creates difficulties for non-technical users w...
B. Divya, V. Vaishnavi, E. H. Charan et al.· International Journal of Eng...· 0 citations
Experiments on three real-world datasets demonstrate that AnnoIndex consistently outperforms state-of-the-art baselines, achieving the highest average F1 score while maintaining robust performance on complex multi-hop join and progressive reasoning queries.
Teng Lin, Yu-Yu Luo, Nan Tang· 3 citations
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