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Robust and Noise Resistant Wrapper Induction

Summary: Robust wrapper induction for template-based web data extraction, tolerant to page changes and noisy samples. A restricted subset of XPATH yields discriminative anchor nodes; despite infeasibility of optimal-query induction, the framework learns long-lived, noise-resistant wrappers validated on Internet Archive snapshots. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5303
Venue
SIGMOD
Year
2016
Pagerank
5.3066871e-05
Overall Rank
9,179 | 37.03%
DOI
10.1145/2882903.2915214

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{furche_sigmod16,
        title = {{Robust and Noise Resistant Wrapper Induction}},
        author = {Furche, Tim and Guo, Jinsong and Maneth, Sebastian and Schallhart, Christian},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2915214},
        url = {https://dl.acm.org/doi/10.1145/2882903.2915214},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
7,811 The Smallest Extraction Problem 2021 VLDB 5.5393291e-05
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