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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)

Paper ID
h9c4898f3b5042d88
Venue
VLDB
Year
2013
Pagerank
6.2842233e-05
Overall Rank
5,054 | 66.13%
DOI
10.14778/2535569.2448954

Incoming Non-self Citations Over Time

Authors

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}
}

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7,230 Dataset Relationship Management 2019 CIDR 5.5636441e-05
7,265 SeeSaw: Interactive Ad-hoc Search Over Image Databases 2023 SIGMOD 5.5546592e-05
8,572 ALEX: Automatic Link Exploration in Linked Data 2015 SIGMOD 5.2983431e-05
8,994 Effective Entity Augmentation By Querying External Data Sources 2023 VLDB 5.2284279e-05
9,654 Interactive and Deterministic Data Cleaning: A Tossed Stone Raises a Thousand Ripples 2016 SIGMOD 5.1310198e-05
10,057 The Data Interaction Game 2018 SIGMOD 5.0766855e-05
12,434 Looking at Everything in Context 2015 CIDR 4.9605343e-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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