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Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks
Summary: Proposes EmbDI, local relational embeddings learned from a compact graph-based representation for data integration. Derives sentences from the graph to express similarity across tokens, attributes, and rows, aiding schema matching and entity resolution.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h1bca7d9865b8d424
Venue
SIGMOD
Year
2020
Pagerank
0.00010943046
Overall Rank
1,348 | 90.97%
DOI
10.1145/3318464.3389742
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{cappuzzo_sigmod20,
title = {{Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks}},
author = {Cappuzzo, Riccardo and Papotti, Paolo and Thirumuruganathan, Saravanan},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389742},
url = {https://dl.acm.org/doi/10.1145/3318464.3389742},
year = {2020}
}
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Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020
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Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021
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Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation 2022
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DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data 2023
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Magneto: Combining Small and Large Language Models for Schema Matching 2025
VLDB
6.8177935e-05
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Observatory: Characterizing Embeddings of Relational Tables 2024
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Big Graphs: Challenges and Opportunities 2022
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FlexER: Flexible Entity Resolution for Multiple Intents 2023
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SubTab: Data Exploration with Informative Sub-Tables 2022
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MINT: Detecting Fraudulent Behaviors from Time-series Relational Data 2023
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Data Augmentation for ML-driven Data Preparation and Integration 2021
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Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution 2024
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
Venue
Pagerank
158
Deep Learning for Entity Matching: A Design Space Exploration 2018
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0.00028049555
434
Corleone: Hands-Off Crowdsourcing for Entity Matching 2014
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0.00018323777
459
Distributed Representations of Tuples for Entity Resolution 2018
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0.00017863654
1,004
ILOG: Declarative Creation and Manipulation of Object Identifiers 1990
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0.00012557552
1,306
Detecting Data Errors: Where are we and what needs to be done? 2016
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0.00011076619
1,650
Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017
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FREDDY: Fast Word Embeddings in Database Systems 2018
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Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms 2016
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Data Integration: After the Teenage Years 2017
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Exploiting Latent Information in Relational Databases via Word Embedding and Application to Degrees of Disclosure 2019
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2,608
Auto-Join: Joining Tables by Leveraging Transformations 2017
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++Spicy: an Open-Source Tool for Second-Generation Schema Mapping and Data Exchange 2011
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Smurf: Self-Service String Matching Using Random Forests 2019
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