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{Kavitha Srinivas Juan Sequeda Ernesto Jiménez-Ruiz Madelon Hulsebos Oktie Hassanzadeh Vasilis Efthymiou Vincenzo Cutrona Jiaoyan Chen Nora Abdelmageed}

Abstract
SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Matching (OM) Workshop. SemTab provides a common framework to conduct a systematic evaluation of state-of-the-art systems. In this paper, we give an overview of the 2022’s edition of the challenge and summarize the results.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| cell-entity-annotation-on-toughtables-wd | s-elBat | F1 (%): 93.8 |
| column-type-annotation-on-toughtables-dbp | s-elBat | F1 (%): 36.6 |
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