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Optimizing Content Freshness of Relations Extracted From the Web Using Keyword Search

Summary: Defines content freshness for Web-derived data and keeps local copies up-to-date via a keyword-search interface. Selectivity-based keyword queries chosen to maximize freshness with minimum web traffic, outperforming naive baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4358
Venue
SIGMOD
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,426 | 14.75%
DOI
10.1145/1807167.1807256

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Authors

BibTeX Citation

@inproceedings{yang_sigmod10,
        title = {{Optimizing Content Freshness of Relations Extracted From the Web Using Keyword Search}},
        author = {Yang, Mohan and Wang, Haixun and Lim, Lipyeow and Wang, Min},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807256},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807256},
        year = {2010}
}

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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
340 Crawling the Hidden Web 2001 VLDB 0.00020711119
1,195 Best-Effort Cache Synchronization with Source Cooperation 2002 SIGMOD 0.00011727947
1,554 Google’s Deep-Web Crawl 2008 VLDB 0.00010372108
1,610 Synchronizing a database to Improve Freshness 2000 SIGMOD 0.00010220368
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