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Inference of Concise DTDs from XML Data

Summary: Infers concise XML DTDs by learning SOREs and CHAREs, capturing the majority of practical DTDs. iDTD uses an automata-to-RE rewrite to derive SOREs; crx directly learns CHAREs for small data, enabling fast, accurate schema inference with noise handling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9395
Venue
VLDB
Year
2006
Pagerank
7.4876241e-05
Overall Rank
3,138 | 78.18%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
809 Curated Databases 2008 PODS 0.00016430384
2,506 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 8.6335464e-05
2,864 Inferring XML Schema Definitions from XML Data 2007 VLDB 7.9863574e-05
3,845 On Repairing Structural Problems In Semi-structured Data 2013 VLDB 6.7073366e-05
5,948 Minimization of Tree Pattern Queries with Constraints 2008 SIGMOD 5.2602218e-05
7,571 Reducing Ambiguity in Json Schema Discovery 2021 SIGMOD 4.7075853e-05
8,943 Towards Theory for Real-World Data 2022 PODS 4.4258797e-05
11,150 Zed: Leveraging Data Types to Process Eclectic Data 2023 CIDR 4.1945683e-05
11,936 TreeScope: Finding Structural Anomalies In Semi-Structured Data 2015 VLDB 4.1945683e-05
12,306 Simplifying XML Schema: Effortless Handling of Nondeterministic Regular Expressions 2009 SIGMOD 4.1945683e-05
12,372 SchemaScope: a System for Inferring and Cleaning XML Schemas 2008 SIGMOD 4.1945683e-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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