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From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences

Summary: Introduces K*SQL, a SQL-based pattern language over nested words, unifying relational sequences, event streams, and XML. Compiles other sequence languages and XPath to one efficient backend with novel nested-word search optimizations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10263
Venue
VLDB
Year
2010
Pagerank
5.6243e-05
Overall Rank
7,409 | 49.17%
DOI
10.14778/1920841.1920865

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mozafari_vldb10,
        title = {{From Regular Expressions to Nested Words: Unifying Languages and Query Execution for Relational and XML Sequences}},
        author = {Mozafari, Barzan and Zeng, Kai and Zaniolo, Carlo},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        doi = {10.14778/1920841.1920865},
        url = {https://doi.org/10.14778/1920841.1920865},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,641 High-Performance Complex Event Processing over XML Streams 2012 SIGMOD 6.5913488e-05
6,204 Complete Event Trend Detection in High-Rate Event Streams 2017 SIGMOD 5.9444229e-05
12,000 A Declarative Query Processing System for Nowcasting 2017 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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