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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)

Paper ID
10582
Venue
VLDB
Year
2013
Pagerank
4.1945683e-05
Overall Rank
12,068 | 16.05%
DOI
-

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Rank Citing Paper Year Venue Pagerank
12,085 Aggregating Semantic Annotators 2013 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
62 Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge 2008 SIGMOD 0.0006429466
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