RankIE: Document Retrieval on Ranked Entity Graphs
Summary: RankIE performs entity-aware retrieval over ranked entity graphs, using domain ontologies to interpret natural-language queries and index forum content. It enables entity-based query refinement and faceted, intent-oriented search, achieving 83% precision on top-five query entities. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Falk Brauer (SAP)
- 2. Marcus Schramm (SAP)
- 3. Wojciech Barczynski (SAP)
- 4. Adrian Mocan (SAP)
- 5. Gregor Hackenbroich (SAP)
- 6. Felix Förster (SAP)
BibTeX Citation
@article{brauer_vldb09,
title = {{RankIE: Document Retrieval on Ranked Entity Graphs}},
author = {Brauer, Falk and Schramm, Marcus and Barczynski, Wojciech and Mocan, Adrian and Hackenbroich, Gregor and Förster, Felix},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687596},
url = {https://doi.org/10.14778/1687553.1687596},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,454 | ROXXI: Reviving witness dOcuments to eXplore eXtracted Information | 2010 | 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 |
|---|---|---|---|---|
| 3,507 | Efficiently Linking Text Documents with Relevant Structured Information | 2006 | VLDB | 7.3574742e-05 |
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| 7 | 11,880 | PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration | 2019 | VLDB |
| 8 | 2,976 | Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web | 2007 | CIDR |
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