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A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science

Summary: Demonstrates KGLac, a data discovery and enrichment platform that builds a GLac knowledge graph linking datasets, tables, and columns for semantic discovery. Uses SPARQL-enabled discovery, annotation with derived insights, and ML-driven graph learning for enrichment; showcases an ML pipeline to evaluate gender salary bias in IT jobs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12443
Venue
VLDB
Year
2021
Pagerank
4.496339e-05
Overall Rank
8,503 | 40.85%
DOI
10.14778/3476311.3476317

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
9,434 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 4.3430376e-05
10,029 Outliers: The Good, the Bad and the Ugly 2026 SIGMOD 4.1945683e-05
10,197 Qualitative Join Discovery in Data Lakes using Examples 2026 SIGMOD 4.1945683e-05
10,754 OmniMatch: Joinability Discovery in Data Products 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,178 Table Union Search on Open Data 2018 VLDB 0.00013468118
1,187 JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes 2019 SIGMOD 0.00013443639
1,644 Finding Related Tables in Data Lakes for Interactive Data Science 2020 SIGMOD 0.00011041787
3,358 Organizing Data Lakes for Navigation 2020 SIGMOD 7.1784949e-05
3,963 Pytheas: Pattern-based Table Discovery in CSV Files 2020 VLDB 6.5840643e-05
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