Deep Web Integration with VisQI
Summary: VisQI transforms Web query interfaces to hierarchical representations, enabling deep Web integration, domain labeling, and cross-interface matching. An evaluation against a gold standard and a reusable, framework-like architecture enable rapid development. (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. Thomas Kabisch
- 2. Eduard C. Dragut
- 3. Clement Yu
- 4. Ulf Leser
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,248 | Web Record Extraction with Invariants | 2023 | VLDB | 4.3690661e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 672 | An Interactive Clustering-based Approach to Integrating Source Query Interfaces on the Deep Web | 2004 | SIGMOD | 0.00018355746 |
| 2,362 | Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax | 2004 | SIGMOD | 8.9582251e-05 |
| 5,774 | A Hierarchical Approach to Model Web Query Interfaces for Web Source Integration | 2009 | VLDB | 5.3313642e-05 |
| 9,943 | Stop Word and Related Problems in Web Interface Integration | 2009 | VLDB | 4.2456408e-05 |
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