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Web Record Extraction with Invariants

Summary: Introduce invariants for Web data records to relax prior assumptions of uniform schemas and linear layouts, enabling discovery of heterogeneous, nested records on modern pages. Propose Miria, a bottom-up recursive algorithm that reconstructs records from invariants and outperforms prior extractors. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13534
Venue
VLDB
Year
2023
Pagerank
5.2534872e-05
Overall Rank
9,436 | 35.49%
DOI
10.14778/3574245.3574276

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb23,
        title = {{Web Record Extraction with Invariants}},
        author = {Chen, Zhijia and Meng, Weiyi and Dragut, Eduard},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {4},
        pages = {959--972},
        doi = {10.14778/3574245.3574276},
        url = {https://doi.org/10.14778/3574245.3574276},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,454 Visual Template Inference for Data Extraction from Documents 2026 SIGMOD 5.0723324e-05
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Outgoing Citations (Sorted by Pagerank)

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

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