TreeScope: Finding Structural Anomalies In Semi-Structured Data
Summary: TreeScope detects structural, rather than content, anomalies in XML/JSON-like data by learning high-support structural models. It interactively summarizes detected deviations with plausible explanations, demonstrated on DBLP. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Shanshan Ying (Advanced Digital Sciences Center)
- 2. Barna Saha (University of Massachusetts Amherst)
- 3. Flip Korn (Google)
- 4. Divesh Srivastava (American Telephone & Telegraph Labs–Research)
BibTeX Citation
@article{ying_vldb15,
title = {{TreeScope: Finding Structural Anomalies In Semi-Structured Data}},
author = {Ying, Shanshan and Saha, Barna and Korn, Flip and Srivastava, Divesh},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1904--1907},
doi = {10.14778/2824032.2824097},
url = {https://doi.org/10.14778/2824032.2824097},
year = {2015}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,142 | XTRACT: A System for Extracting Document Type Descriptors from XML Documents | 2000 | SIGMOD | 0.00012002609 |
| 3,185 | Inference of Concise DTDs from XML Data | 2006 | VLDB | 7.6567423e-05 |
| 3,417 | DBLP — Some Lessons Learned | 2009 | VLDB | 7.4294642e-05 |
| 7,931 | MESSIAH: Missing Element-Conscious SLCA Nodes Search in XML Data | 2013 | SIGMOD | 5.5181056e-05 |
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