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Optimizing Complex Extraction Programs over Evolving Text Data

Summary: Extends Cyclex from a single IE blackbox to compositional workflows for evolving text corpora. Models and recycles complex IE programs, searches plan spaces for optimal execution, and validates gains on real rule-based and learning-based pipelines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4191
Venue
SIGMOD
Year
2009
Pagerank
5.2138468e-05
Overall Rank
9,828 | 32.58%
DOI
10.1145/1559845.1559881

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod09,
        title = {{Optimizing Complex Extraction Programs over Evolving Text Data}},
        author = {Chen, Fei and Gao, Byron J. and Doan, AnHai and Yang, Jun and Ramakrishnan, Raghu},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559881},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559881},
        year = {2009}
}

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