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Auctus: A Dataset Search Engine for Data Discovery and Augmentation

Summary: Auctus, a dataset search engine for discovering and augmenting structured data across Web tables, portals, and enterprises. Unique architecture supports rich dataset queries, exploration workflows, and case studies showing data augmentation to improve ML models and analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4761b5b5045e4c61
Venue
VLDB
Year
2021
Pagerank
0.00010984121
Overall Rank
1,336 | 91.03%
DOI
10.14778/3476311.3476346
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{castelo_vldb21,
        title = {{Auctus: A Dataset Search Engine for Data Discovery and Augmentation}},
        author = {Castelo, Sonia and Rampin, Rémi and Santos, Aécio and Bessa, Aline and Chirigati, Fernando and Freire, Juliana},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {2791--2794},
        doi = {10.14778/3476311.3476346},
        url = {https://doi.org/10.14778/3476311.3476346},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 27 of 27 citing papers.

Rank Citing Paper Year Venue Pagerank
1,854 Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning 2023 VLDB 9.4961138e-05
1,929 CHORUS: Foundation Models for Unified Data Discovery and Exploration 2024 VLDB 9.3551286e-05
3,521 Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins 2022 VLDB 7.2320843e-05
3,617 Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation 2022 SIGMOD 7.1540505e-05
3,924 Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System 2025 SIGMOD 6.9195146e-05
5,418 Towards Distribution-aware Query Answering in Data Markets 2022 VLDB 6.1370792e-05
5,610 Responsible Data Integration: Next-generation Challenges 2022 SIGMOD 6.0660772e-05
6,159 Automatic Data Acquisition for Deep Learning 2021 VLDB 5.8653048e-05
6,186 Causal Data Integration 2023 VLDB 5.8559807e-05
6,232 The Fast and the Private: Task-based Dataset Search 2024 CIDR 5.8417106e-05
6,493 Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data 2024 SIGMOD 5.7647249e-05
6,979 Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach 2023 SIGMOD 5.6272426e-05
7,771 LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes 2024 VLDB 5.453953e-05
8,088 Saibot: A Differentially Private Data Search Platform 2023 VLDB 5.3917406e-05
9,033 Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search 2024 VLDB 5.2322216e-05
10,631 AutoDDG: Automated Dataset Description Generation using Large Language Models 2026 SIGMOD 4.9769913e-05
10,684 Qualitative Join Discovery in Data Lakes using Examples 2026 SIGMOD 4.9769913e-05
10,826 FedAugment: Table Augmentation Search over Decentralized Data Repositories 2026 VLDB 4.9769913e-05
10,900 Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications 2026 VLDB 4.9769913e-05
10,903 MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery 2026 VLDB 4.9769913e-05
11,047 Semantic Data Systems: From Data Management to Data Understanding 2026 VLDB 4.9769913e-05
11,082 Revisiting Task-Oriented Dataset Search in the Era of Large Language Models: Challenges, Benchmark, and Solution 2026 VLDB 4.9769913e-05
11,090 A Theoretical Framework for Distribution-Aware Dataset Search 2025 PODS 4.9769913e-05
11,161 Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine in Action 2025 SIGMOD 4.9769913e-05
11,303 OpenForge: Probabilistic Metadata Integration 2025 VLDB 4.9769913e-05
11,331 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 4.9769913e-05
11,891 Fast Dataset Search with Earth Mover's Distance 2022 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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