XANADUE: A System for Detecting Changes to XML Data in Tree-Unaware Relational Databases

Summary: Xanadue uses a traditional RDBMS to detect changes in large XML documents, avoiding in-memory dual-XML storage. XML is stored in relational tables and changes are detected via SQL queries, enabling scalable, memory-efficient differencing in tree-unaware relational DBs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4017
Venue: SIGMOD
Year: 2007
Pagerank: 5.4135466e-05
Overall Rank: 8,498 | 41.70%
DOI: 10.1145/1247480.1247633

Incoming Non-self Citations Over Time

Authors

1. Erwin Leonardi (Nanyang Technological University; Singapore-Massachusetts Institute of Technology Alliance)
2. Sourav S. Bhowmick (Nanyang Technological University)

BibTeX Citation

@inproceedings{leonardi_sigmod07,
        title = {{XANADUE: A System for Detecting Changes to XML Data in Tree-Unaware Relational Databases}},
        author = {Leonardi, Erwin and Bhowmick, Sourav S.},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247633},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247633},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,021	Online Deduplication for Databases	2017	SIGMOD	6.3982122e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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