Abstract is missing.
- Results of SemTab 2021Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita. 1-12 [doi]
- BiodivTab: A Table Annotation Benchmark based on Biodiversity Research DataNora Abdelmageed, Sirko Schindler, Birgitta König-Ries. 13-18 [doi]
- DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation Of Tabular DataViet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy. 19-31 [doi]
- GBMTab: A Graph-Based Method for Interpreting Noisy Semantic Table to Knowledge GraphLianzheng Yang, Shuyang Shen, Jingyi Ding, Jiahui Jin. 32-41 [doi]
- JenTab Meets SemTab 2021's New ChallengesNora Abdelmageed, Sirko Schindler. 42-53 [doi]
- Kepler-aSI at SemTab 2021Wiem Baazouzi, Marouen Kachroudi, Sami Faïz. 54-67 [doi]
- MAGIC: Mining an Augmented Graph using INK, starting from a CSVBram Steenwinckel, Filip De Turck, Femke Ongenae. 68-78 [doi]
- MantisTable V: A novel and efficient approach to Semantic Table InterpretationRoberto Avogadro, Marco Cremaschi. 79-91 [doi]
- SemTab 2021: Tabular Data Annotation with MTab ToolPhuc Nguyen, Ikuya Yamada, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda 0001. 92-101 [doi]