SEDA: A System for Search, Exploration, Discovery, and Analysis of XML Data
Summary: SEDA enables keyword-based XML search with user interaction, delivering fast top-k node rankings and contexts/paths that connect terms for disambiguation. From the full results, it derives a star schema and an OLAP-ready data cube for deeper analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Andrey Balmin
- 2. Latha Colby
- 3. Emiran Curtmola
- 4. Quanzhong Li
- 5. Fatma Özcan
- 6. Sharath Srinivas
- 7. Zografoula Vagena
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,554 | Search Driven Analysis of Heterogeneous XML Data | 2009 | CIDR | 4.4937074e-05 |
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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 |
|---|---|---|---|---|
| 7 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015496097 |
| 446 | Storing and Querying Ordered XML Using a Relational Database System | 2002 | SIGMOD | 0.00022925415 |
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