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Schema Management for Document Stores

Summary: Schema management framework for document stores to discover, persist, and query JSON schemas in a schema-less setting. Introduces canonical-form discovery, equivalent-subtree clustering, eSiBuTree storage, and skeletons as compact core summaries for heterogeneous schemas; validated on real data for exploration and integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11202
Venue
VLDB
Year
2015
Pagerank
7.1903648e-05
Overall Rank
3,349 | 76.71%
DOI
-

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Showing 7 of 7 citing papers.

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
992 XTRACT: A System for Extracting Document Type Descriptors from XML Documents 2000 SIGMOD 0.00014799689
1,163 Extracting Schema from Semistructured Data 1998 SIGMOD 0.00013577466
1,271 Schema Summarization 2006 VLDB 0.00012923966
2,773 JSON Data Management – Supporting Schema-less Development in RDBMS 2014 SIGMOD 8.1386587e-05
3,992 Discovering Linkage Points over Web Data 2013 VLDB 6.5544834e-05
6,823 Are We Experiencing a Big Data Bubble? 2014 SIGMOD 4.9149276e-05
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