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WADaR: Joint Wrapper and Data Repair

Summary: WADaR is a scalable tool for joint wrapper and data repair in web-scraped relations. It uses off-the-shelf entity recognizers to locate targets and Markov-chain repairs to fix data and wrappers; yields 15–60% quality gains and full wrapper repair in >50% without site knowledge. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h6873818dbfaab158
Venue
VLDB
Year
2015
Pagerank
5.9135138e-05
Overall Rank
6,015 | 59.56%
DOI
10.14778/2824032.2824120

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ortona_vldb15,
        title = {{WADaR: Joint Wrapper and Data Repair}},
        author = {Ortona, Stefano and Orsi, Giorgio and Buoncristiano, Marcello and Furche, Tim},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        doi = {10.14778/2824032.2824120},
        url = {https://doi.org/10.14778/2824032.2824120},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,641 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1787073e-05
6,398 CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web 2018 VLDB 5.7984902e-05
7,972 The Smallest Extraction Problem 2021 VLDB 5.4150414e-05
9,578 Web Record Extraction with Invariants 2023 VLDB 5.1571823e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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