Querying Web-Based Applications Under Models of Uncertainty
Summary: Uncertainty-aware models for web-based application executions with partial information. Efficient query-based reasoning within a restricted, tractable model class; hardness results justify restriction and the work offers practical implementations to optimize Web apps. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 74 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00057797415 |
| 1,371 | Querying Business Processes | 2006 | VLDB | 0.00012335393 |
| 1,900 | Type Inference for Queries on Semistructured Data (Extended Abstract) | 1999 | PODS | 0.00010168127 |
| 2,382 | Business Process Cockpit (EXTENDED ABSTRACT) | 2002 | VLDB | 8.923498e-05 |
| 3,489 | Type-Based XML Projection | 2006 | VLDB | 7.0458331e-05 |
| 7,234 | A Crash Course on Database Queries | 2007 | PODS | 4.7882493e-05 |
| 8,557 | Monitoring Business Processes with Queries | 2007 | VLDB | 4.4893996e-05 |
| 12,390 | Type Inference and Type Checking for Queries on Execution Traces | 2008 | VLDB | 4.1905499e-05 |
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