Automatically Incorporating New Sources in Keyword Search-Based Data Integration
Summary: Auto-detects new sources for keyword-search data integration as user views evolve. Uses label propagation and schema matchers with user feedback to refine alignments; evaluated on bioinformatics schemas in a mediated-schema setting. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,081 | Sample-Driven Schema Mapping | 2012 | SIGMOD | 9.58883e-05 |
| 5,031 | Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration | 2013 | VLDB | 5.7433161e-05 |
| 6,355 | User Feedback as a First Class Citizen in Information Integration Systems | 2011 | CIDR | 5.0939108e-05 |
| 7,365 | Sharing Work in Keyword Search over Databases | 2011 | SIGMOD | 4.7459715e-05 |
| 11,900 | Looking at Everything in Context | 2015 | CIDR | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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