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)
Incoming Non-self Citations Over Time
Authors
- 1. Barzan Mozafari (University of California Los Angeles)
- 2. Kai Zeng (University of California Los Angeles)
- 3. Carlo Zaniolo (University of California Los Angeles)
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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