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Inference of Concise DTDs from XML Data

Summary: Infers concise DTDs by learning single-occurrence (SORE) and chain regular expressions, covering most practical DTDs. iDTD rewrites/repairs automata for SOREs, while crx directly learns CHAREs from sparse XML data, outperforming prior systems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9586
Venue
VLDB
Year
2006
Pagerank
7.6567423e-05
Overall Rank
3,185 | 78.15%
DOI
10.14778/1164135.1164149

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bex_vldb06,
        title = {{Inference of Concise DTDs from XML Data}},
        author = {Bex, Geert Jan and Neven, Frank and Schwentick, Thomas and Tuyls, Karl},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {115--126},
        doi = {10.14778/1164135.1164149},
        url = {https://doi.org/10.14778/1164135.1164149},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
1,060 Curated Databases 2008 PODS 0.00012371807
2,795 Inferring XML Schema Definitions from XML Data 2007 VLDB 8.115421e-05
3,147 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 7.7077175e-05
5,338 On Repairing Structural Problems In Semi-structured Data 2013 VLDB 6.2609275e-05
6,005 Minimization of Tree Pattern Queries with Constraints 2008 SIGMOD 6.0119945e-05
7,327 Reducing Ambiguity in Json Schema Discovery 2021 SIGMOD 5.6435519e-05
9,012 Towards Theory for Real-World Data 2022 PODS 5.3323444e-05
11,356 Zed: Leveraging Data Types to Process Eclectic Data 2023 CIDR 5.093636e-05
12,134 TreeScope: Finding Structural Anomalies In Semi-Structured Data 2015 VLDB 5.093636e-05
12,500 Simplifying XML Schema: Effortless Handling of Nondeterministic Regular Expressions 2009 SIGMOD 5.093636e-05
12,565 SchemaScope: a System for Inferring and Cleaning XML Schemas 2008 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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