Using SQL to Build New Aggregates and Extenders for Object-Relational Systems

Summary: AXL provides an SQL-based language to define UDAs for O-R DBs, preserving SQL constructs and types. With minimal extensions, it delivers scalable, parallelizable extensibility, enabling data mining and advanced algorithms, outperforming traditional Datablades/DB-Extenders. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8835
Venue: VLDB
Year: 2000
Pagerank: 5.2567112e-05
Overall Rank: 9,516 | 34.72%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Haixun Wang (University of California Los Angeles)
2. Carlo Zaniolo (University of California Los Angeles)

BibTeX Citation

@article{wang_vldb00,
        title = {{Using SQL to Build New Aggregates and Extenders for Object-Relational Systems}},
        author = {Wang, Haixun and Zaniolo, Carlo},
        journal = {PVLDB},
        series = {{VLDB} '00},
        pages = {166--177},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,524	Optimization of Sequence Queries in Database Systems	2001	PODS	8.4681197e-05
5,500	Combi-Operator – Database Support for Data Mining Applications	2003	VLDB	6.1968585e-05
6,817	ATLAS: a Small but Complete SQL Extension for Data Mining and Data Streams	2003	VLDB	5.764503e-05
12,736	A Native Extension of SQL for Mining Data Streams	2005	SIGMOD	5.093636e-05
14,055	A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services	2001	VLDB	-

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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