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: 3828
Venue: SIGMOD
Year: 2006
Pagerank: 4.7180617e-05
Overall Rank: 7,517 | 47.71%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
12,472	P2P Authority Analysis for Social Communities	2007	VLDB	4.1945683e-05

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
320	ObjectRank: Authority-Based Keyword Search in Databases	2004	VLDB	0.00027577867

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427	Automated Ranking of Database Query Results	2003	CIDR	0.0002352637
6,050	Ranking Objects by Exploiting Relationships: Computing Top-K over Aggregation	2006	SIGMOD	5.2360729e-05
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320	ObjectRank: Authority-Based Keyword Search in Databases	2004	VLDB	0.00027577867