ROSeAnn: Reconciling Opinions of Semantic Annotators
Summary: ROSeAnn reconciles diverse semantic-annotation opinions via a unified view over multiple annotators on text and Web documents. It uses ontology-aware aggregation, with supervised and unsupervised (weighted-repair) methods to resolve conflicts and merge annotations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Luying Chen
- 2. Stefano Ortona
- 3. Giorgio Orsi
- 4. Michael Benedikt
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,093 | Aggregating Semantic Annotators | 2013 | VLDB | 5.1725247e-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 |
|---|---|---|---|---|
| 63 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00039278196 |
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