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ObjectRank: A System for Authority-based Search on Databases

Summary: ObjectRank adapts PageRank to databases via a labeled object graph and an authority-transfer graph for citations, authorship, and conferences. It ranks papers and authors by merging authority with a specificity metric (Inverse ObjectRank) to yield relevant, authoritative results; demonstrated on DBLP with a demo. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3890
Venue
SIGMOD
Year
2006
Pagerank
5.5181056e-05
Overall Rank
7,937 | 45.55%
DOI
10.1145/1142473.1142593

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hwang_sigmod06,
        title = {{ObjectRank: A System for Authority-based Search on Databases}},
        author = {Hwang, Heasoo and Hristidis, Vagelis and Papakonstantinou, Yannis},
        series = {{SIGMOD} '06},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1142473.1142593},
        url = {https://dl.acm.org/doi/10.1145/1142473.1142593},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,666 P2P Authority Analysis for Social Communities 2007 VLDB 5.093636e-05
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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
285 ObjectRank: Authority-Based Keyword Search in Databases 2004 VLDB 0.00022365284
Previous Page 1 / 1 Next

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