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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)

Paper ID
5114
Venue
SIGMOD
Year
2015
Pagerank
5.093636e-05
Overall Rank
12,121 | 16.84%
DOI
10.1145/2723372.2749435

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Authors

BibTeX Citation

@inproceedings{ibrahim_sigmod15,
        title = {{Proactive Annotation Management in Relational Databases}},
        author = {Ibrahim, Karim and Du, Xiao and Eltabakh, Mohamed Y.},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2749435},
        url = {https://dl.acm.org/doi/10.1145/2723372.2749435},
        year = {2015}
}

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