Abstract is missing.
- Results of SemTab 2022Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas. 1-13 [doi]
- SOTAB: The WDC Schema.org Table Annotation BenchmarkKeti Korini, Ralph Peeters, Christian Bizer. 14-19 [doi]
- Wikary: A Dataset of N-ary Wikipedia Tables Matched to Qualified Wikidata StatementsIgor Mazurek, Berend Wiewel, Benno Kruit. 20-27 [doi]
- MammoTab: A Giant and Comprehensive Dataset for Semantic Table InterpretationMattia Marzocchi, Marco Cremaschi, Riccardo Pozzi, Roberto Avogadro, Matteo Palmonari. 28-33 [doi]
- A Large Scale Corpus of Food Composition TablesAzanzi Jiomekong, Cosmas Etoga, Brice Foko, Martins Folefac, Sorel Kana, Vadel Tsague, Mouhamadou Sow, Gaoussou Camara. 34-36 [doi]
- KGCODE-Tab Results for SemTab 2022Xinhe Li, Shuxin Wang, Wei Zhou, Gongrui Zhang, Chenghuan Jiang, Tianyu Hong, Peng Wang. 37-44 [doi]
- From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAHViet-Phi Huynh, Yoan Chabot, Thomas Labbé, Jixiong Liu, Raphaël Troncy. 45-58 [doi]
- s-elBat: A Semantic Interpretation Approach for Messy taBle-sMarco Cremaschi, Roberto Avogadro, David Chieregato. 59-71 [doi]
- JenTab: Do CTA Solutions Affect the Entire Scores?Nora Abdelmageed, Sirko Schindler. 72-79 [doi]
- Yet Another Milestone for Kepler-aSI at SemTab 2022Wiem Baazouzi, Marouen Kachroudi, Sami Faïz. 80-91 [doi]
- A Low-resource Approach to SemTab 2022Laurent Mertens. 92-104 [doi]
- SemInt at SemTab 2022Abhisek Sharma, Sumit Dalal, Sarika Jain 0001. 105-110 [doi]
- Towards an Approach Based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph MatchingAzanzi Jiomekong, Brice Foko. 111-122 [doi]