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Aggregating Semantic Annotators

Summary: Ontology-aware aggregation unifies diverse semantic annotators into a richer annotation layer. A training-free, repair-based method, benchmarked against supervised models and ontology-unaware baselines, improves accuracy via inter-annotator signals. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10826
Venue
VLDB
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,282 | 15.74%
DOI
10.14778/2536258.2536264

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{chen_vldb13,
        title = {{Aggregating Semantic Annotators}},
        author = {Chen, Luying and Ortona, Stefano and Orsi, Giorgio and Benedikt, Michael},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {13},
        pages = {1486--1497},
        doi = {10.14778/2536258.2536264},
        url = {https://doi.org/10.14778/2536258.2536264},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,745 DIADEM: Thousands of Websites to a Single Database 2014 VLDB 6.1018855e-05
5,915 WADaR: Joint Wrapper and Data Repair 2015 VLDB 6.0437843e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
890 Integrating Conflicting Data: The Role of Source Dependence 2009 VLDB 0.00013382697
3,340 Automatic Wrappers for Large Scale Web Extraction 2011 VLDB 7.5040045e-05
3,973 Uncertainty Management in Rule-Based Information Extraction Systems 2009 SIGMOD 6.9810029e-05
12,266 ROSeAnn: Reconciling Opinions of Semantic Annotators 2013 VLDB 5.093636e-05
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