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)
Incoming Non-self Citations Over Time
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Authors
- 1. Mohan Yang (Microsoft; Shanghai Jiao Tong University)
- 2. Haixun Wang (Microsoft)
- 3. Lipyeow Lim (University of Hawaii at Manoa)
- 4. Min Wang (Hewlett Packard Enterprise)
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}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
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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