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Supporting Entity Search: A Large-Scale Prototype Search Engine

Summary: Proposes entity search, a departure from document retrieval, locating data entities (phones, PDFs, dates) instead of pages. Demonstrates a 2TB-scale prototype over the Web (WISDM), validating scalable entity-centric search architecture. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4019
Venue
SIGMOD
Year
2007
Pagerank
-
Overall Rank
13,801 | 5.32%
DOI
10.1145/1247480.1247636

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@inproceedings{cheng_sigmod07,
        title = {{Supporting Entity Search: A Large-Scale Prototype Search Engine}},
        author = {Cheng, Tao and Yan, Xifeng and Chang, Kevin Chen-Chuan},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247636},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247636},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
1,689 EntityRank: Searching Entities Directly and Holistically 2007 VLDB 0.00010003102
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,976 Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web 2007 CIDR 7.9066299e-05
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