Exploiting Latent Information in Relational Databases via Word Embedding and Application to Degrees of Disclosure
Summary: Textify relations and train word embeddings on database tokens to expose cross-attribute latent semantics (similarity, analogy, induction) to SQL via UDFs. Apply this cognitive DB for policy-driven degrees of disclosure and semantic sharing, noting engine-integration challenges and theoretical limits of embedding coding. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,400 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD | 0.00010990523 |
| 1,455 | word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data | 2020 | PODS | 0.00010807641 |
| 2,810 | Deep Learning for Blocking in Entity Matching: A Design Space Exploration | 2021 | VLDB | 8.1526007e-05 |
| 8,757 | TabEE: Tabular Embeddings Explanations | 2024 | SIGMOD | 5.4341237e-05 |
| 9,301 | SubTab: Data Exploration with Informative Sub-Tables | 2022 | SIGMOD | 5.3503302e-05 |
| 9,824 | Towards Autonomous, Hands-Free Data Exploration | 2020 | CIDR | 5.2648912e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,103 | FREDDY: Fast Word Embeddings in Database Systems | 2018 | SIGMOD | 9.2273368e-05 |
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