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Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code

Summary: Autotype synthesizes semantic-type detectors by mining code from positive examples and a keyword; it derives type-detection logic from execution traces. On a 112-type benchmark, it detects 84 with precision, boosting web-table discovery vs. baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5596
Venue
SIGMOD
Year
2018
Pagerank
5.8793793e-05
Overall Rank
6,436 | 55.85%
DOI
10.1145/3183713.3196888

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yan_sigmod18,
        title = {{Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code}},
        author = {Yan, Cong and He, Yeye},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196888},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196888},
        year = {2018}
}

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