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Sharing Work in Keyword Search over Databases

Summary: Extends keyword search to multi-query data integration by reusing work across continuously arriving queries. ATC scheduling coordinates pipelined operators to minimize work and share state for top-k answers across all active queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4476
Venue
SIGMOD
Year
2011
Pagerank
5.5709469e-05
Overall Rank
7,670 | 47.38%
DOI
10.1145/1989323.1989384

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jacob_sigmod11,
        title = {{Sharing Work in Keyword Search over Databases}},
        author = {Jacob, Marie and Ives, Zachary},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989384},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989384},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,427 Processing a Large Number of Continuous Preference Top-k Queries 2012 SIGMOD 8.5915976e-05
4,910 Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration 2013 VLDB 6.4484207e-05
12,092 Looking at Everything in Context 2015 CIDR 5.093636e-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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