Database Paper Browser

Back to papers

RankIE: Document Retrieval on Ranked Entity Graphs

Summary: RankIE retrieves documents by interpreting queries as ranked entity graphs and matching them to ontology-based indexes for entity-aware search. It enables top-k entity refinement with a faceted UI, achieving 83% precision for top-5 entities, vs 61% SOTA. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9930
Venue
VLDB
Year
2009
Pagerank
6.0346122e-05
Overall Rank
6,130 | 57.40%
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
12,267 ROXXI: Reviving witness dOcuments to eXplore eXtracted Information 2010 VLDB 5.1725247e-05
Previous Page 1 / 1 Next

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
3,459 Efficiently Linking Text Documents with Relevant Structured Information 2006 VLDB 7.4714246e-05
Previous Page 1 / 1 Next

Semantically Similar Papers