Database Paper Browser

Back to papers

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
11103
Venue
VLDB
Year
2015
Pagerank
6.1323543e-05
Overall Rank
5,833 | 59.47%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,848 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1034527e-05
6,237 CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web 2018 VLDB 6.0066515e-05
7,684 The Smallest Extraction Problem 2021 VLDB 5.6251206e-05
9,263 Web Record Extraction with Invariants 2023 VLDB 5.3572577e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers