Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment
Summary: SmartCrawl enables progressive deep-web crawling via keyword queries to enrich a local database under top-k and query-budget limits. It constructs a local data-driven query pool and iteratively issues high-benefit queries to maximize coverage, addressing ΔD and top-k effects with novel benefit estimation and optimizations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pei Wang (Simon Fraser University)
- 2. Ryan Shea (Simon Fraser University)
- 3. Jiannan Wang (Simon Fraser University)
- 4. Eugene Wu (Columbia University)
BibTeX Citation
@inproceedings{wang_sigmod19,
title = {{Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment}},
author = {Wang, Pei and Shea, Ryan and Wang, Jiannan and Wu, Eugene},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319899},
url = {https://dl.acm.org/doi/10.1145/3299869.3319899},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,893 | LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes | 2024 | VLDB | 5.5209866e-05 |
| 8,801 | Effective Entity Augmentation By Querying External Data Sources | 2023 | VLDB | 5.3687048e-05 |
| 9,348 | ActiveDeeper: A Model-based Active Data Enrichment System | 2020 | VLDB | 5.2843006e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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