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DataLoom: Simplifying Data Loading with LLMs

Summary: DataLoom maps chaotic file collections to initial schemas using LLMs for semantic tasks (header inference, column typing, table merging). It orchestrates LLMs for soft decisions and classical algorithms for hard constraints to minimize manual effort and time-to-first-insight. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13680
Venue
VLDB
Year
2024
Pagerank
4.4184286e-05
Overall Rank
8,974 | 37.57%
DOI
10.14778/3685800.3685897

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,207 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 4.5583637e-05
10,835 Large Language Models for Spatial Analysis Queries 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
167 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00039180521
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036538405
939 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00015187344
1,187 JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes 2019 SIGMOD 0.00013443639
1,277 The Data Civilizer System 2017 CIDR 0.00012879695
1,625 Data Profiling with Metanome 2015 VLDB 0.00011094926
5,509 Can Large Language Models Predict Data Correlations from Column Names? 2023 VLDB 5.4703368e-05
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