Database Technologies for Electronic Commerce
Summary: Demonstrates a Pangea e-commerce DB stack: Google-style nameless querying, scalable storage/querying for thousands of sparse attributes, and cross-source catalog/schema integration. Validated on 2M components, 200K datasheets, and 2,000+ categories. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Rakesh Agrawal (IBM)
- 2. Ramakrishnan Srikant (IBM)
- 3. Yirong Xu (IBM)
BibTeX Citation
@article{agrawal_vldb02,
title = {{Database Technologies for Electronic Commerce}},
author = {Agrawal, Rakesh and Srikant, Ramakrishnan and Xu, Yirong},
journal = {PVLDB},
series = {{VLDB} '02},
doi = {10.1016/B978-155860869-6/50107-4},
url = {https://doi.org/10.1016/B978-155860869-6/50107-4},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 1,038 | Storage and Querying of E-Commerce Data | 2001 | VLDB | 0.00012476189 |
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