Proactive Annotation Management in Relational Databases
Summary: Proactive annotation management in relational databases: Nebula learns from existing annotations, analyzes content and semantics, and suggests missing annotation-to-data attachments. It uses context-aware ranking, data-tuple relations, approximation techniques, and expert verification to maximize accuracy while minimizing expert effort, implemented atop an existing engine and empirically evaluated. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Karim Ibrahim
- 2. Xiao Du
- 3. Mohamed Y. Eltabakh
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 561 | An Annotation Management System for Relational Databases | 2004 | VLDB | 0.00020115419 |
| 655 | On Propagation of Deletions and Annotations Through Views | 2002 | PODS | 0.00018608845 |
| 809 | Curated Databases | 2008 | PODS | 0.00016430384 |
| 1,153 | SQAK: Doing More with Keywords | 2008 | SIGMOD | 0.00013642866 |
| 1,201 | SPARK: Top-k Keyword Query in Relational Databases | 2007 | SIGMOD | 0.0001334371 |
| 1,824 | DBNotes: A Post-It System for Relational Databases based on Provenance | 2005 | SIGMOD | 0.00010405194 |
| 3,758 | Keyword Search over Relational Databases: A Metadata Approach | 2011 | SIGMOD | 6.7824746e-05 |
| 5,823 | Believe It or Not: Adding Belief Annotations to Databases | 2009 | VLDB | 5.3129967e-05 |
| 9,171 | InsightNotes: Summary-Based Annotation Management in Relational Databases | 2014 | SIGMOD | 4.3848773e-05 |
| 11,908 | Even Metadata is Getting Big: Annotation Summarization using InsightNotes | 2015 | SIGMOD | 4.1945683e-05 |
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| 364 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00025637562 |
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