Data Profiling with Metanome
Summary: Metanome is an extensible data profiling platform that automatically discovers metadata beyond simple statistics. It integrates state-of-the-art profiling algorithms, supports benchmarking and ranking, and provides visualization to compare approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thorsten Papenbrock
- 2. Tanja Bergmann
- 3. Moritz Finke
- 4. Jakob Zwiener
- 5. Felix Naumann
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,047 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014459715 |
| 4,682 | Scalable Discovery of Unique Column Combinations | 2014 | VLDB | 6.0022412e-05 |
| 4,784 | Divide & Conquer-based Inclusion Dependency Discovery | 2015 | VLDB | 5.9240851e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,660 | Meta-Mappings for Schema Mapping Reuse | 2019 | VLDB | 4.3107389e-05 |
| 1,047 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014459715 |
| 8,475 | DataProf: Semantic Profiling for Iterative Data Cleansing and Business Rule Acquisition | 2018 | SIGMOD | 4.5028904e-05 |
| 748 | Metadata Management for Large Statistical Databases | 1982 | VLDB | 0.00017268814 |
| 12,685 | Computational Properties of Metaquerying Problems | 2000 | PODS | 4.1945683e-05 |
| 11,546 | Making DBMSes Dependency-Aware | 2020 | CIDR | 4.1945683e-05 |
| 8,996 | MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis | 2021 | SIGMOD | 4.4124959e-05 |
| 6,890 | Towards NLP-Enhanced Data Profiling Tools | 2022 | CIDR | 4.8928923e-05 |
| 11,344 | Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment | 2022 | SIGMOD | 4.1945683e-05 |
| 3,467 | Data Profiling – A Tutorial | 2017 | SIGMOD | 7.069081e-05 |