Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration
Summary: Keyword-search data integration avoids a global schema, but must learn ambiguous associations from sparse top-k feedback. The paper actively selects results balancing relevance, score uncertainty, and expected feedback informativeness, validated across diverse real-world domains. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhepeng Yan (University of Pennsylvania)
- 2. Nan Zheng (University of Pennsylvania)
- 3. Zachary G. Ives (University of Pennsylvania)
- 4. Partha Pratim Talukdar (Carnegie Mellon University)
- 5. Cong Yu (Google)
BibTeX Citation
@article{yan_vldb13,
title = {{Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration}},
author = {Yan, Zhepeng and Zheng, Nan and Ives, Zachary G. and Talukdar, Partha Pratim and Yu, Cong},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {3},
pages = {205--216},
doi = {10.14778/2535569.2448954},
url = {https://doi.org/10.14778/2535569.2448954},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,065 | Dataset Relationship Management | 2019 | CIDR | 5.7123431e-05 |
| 7,266 | SeeSaw: Interactive Ad-hoc Search Over Image Databases | 2023 | SIGMOD | 5.6599652e-05 |
| 8,372 | ALEX: Automatic Link Exploration in Linked Data | 2015 | SIGMOD | 5.4403598e-05 |
| 8,801 | Effective Entity Augmentation By Querying External Data Sources | 2023 | VLDB | 5.3687048e-05 |
| 9,442 | Interactive and Deterministic Data Cleaning: A Tossed Stone Raises a Thousand Ripples | 2016 | SIGMOD | 5.2677992e-05 |
| 9,832 | The Data Interaction Game | 2018 | SIGMOD | 5.2124469e-05 |
| 12,092 | Looking at Everything in Context | 2015 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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