SemTab 2023
Semantic Web Challenge on Tabular Data to Knowledge Graph Matching

Table of Contents

Challenge overview

• Results of SemTab 2023 1-14
  Oktie Hassanzadeh, Nora Abdelmageed, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Aamod Khatiwada, Keti Korini, Benno Kruit, Juan Sequeda, Kavitha Srinivas.
  Summary: There were 8 submissions to the challenge across 2 rounds. Out of these, 7 participating systems submitted a paper to the challenge. One paper describing a dataset for the challenge was also submitted. Out of the 8 total paper submissions, we accepted 7 papers for this volume, 5 as regular papers, and 2 as short papers.

Datasets track papers

• Semantic Annotation of TSOTSATable Dataset (short paper) 15-20
  Azanzi Jiomekong, Uriel Melie, Hippolyte Tapamo, Gaoussou Camara

Accuracy track papers

• TorchicTab: Semantic Table Annotation with Wikidata and Language Models 21-37
  Ioannis Dasoulas, Duo Yang, Xuemin Duan, Anastasia Dimou
• SemTex: A Hybrid Approach for Semantic Table Interpretation 38-49
  Emil G. Henriksen, Alan M. Khorsid, Esben Nielsen, Adam M. Stück, Andreas S. Sørensen, Olivier Pelgrin
• DREIFLUSS: A Minimalist Approach for Table Matching 50-60
  Vishvapalsinhji Parmar, Alsayed Algergawy
• Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring 61-71
  Shervin Mehryar, Remzi Celebi
• Exploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching 72-84
  Brice Foko, Azanzi Jiomekong, Hippolyte Tapamo, Jérémy Buisson, Sanju Tiwari
• Kepler-aSI at SemTab 2023 (short paper) 85-91
  Wiem Baazouzi, Marouen Kachroudi, Sami Faiz