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Deeper: A Data Enrichment System Powered by Deep Web

Summary: Deeper links a local DB to a hidden DB via API-driven enrichment with crawl costs scaling to the local data. It introduces a task-focused hidden-web crawling strategy and demonstrates end-to-end enrichment of a publication DB, outperforming naive crawlers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5592
Venue
SIGMOD
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,927 | 18.17%
DOI
10.1145/3183713.3193569

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{wang_sigmod18,
        title = {{Deeper: A Data Enrichment System Powered by Deep Web}},
        author = {Wang, Pei and He, Yongjun and Shea, Ryan and Wang, Jiannan and Wu, Eugene},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193569},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193569},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,705 Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment 2019 SIGMOD 5.3807913e-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 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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