| Vol-3103 urn:nbn:de:0074-3103-0 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# SemTab 2021
Semantic Web Challenge on Tabular Data to Knowledge Graph Matching 2021

### Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
co-located with the 20th International Semantic Web Conference (ISWC 2021)

### Virtual conference, October 27, 2021.

Edited by

### Ernesto Jiménez-Ruiz †
Vasilis Efthymiou ‡
Jiaoyan Chen ♠
Vincenzo Cutrona ♥
Oktie Hassanzadeh ♣
Juan Sequeda ♦
Kavitha Srinivas ♣
Nora Abdelmageed ◊
Madelon Hulsebos ★
Daniela Oliveira ☆
Catia Pesquita ☆

† City, University of London, UK and SIRIUS, University of Oslo, Norway
‡ FORTH-ICS, Greece
♠ University of Oxford, UK
♥ SUPSI, Switzerland
♣ IBM Research, USA
♦ data.world, US
◊ University of Jena, Germany
★ University of Amsterdam, The Netherlands
☆ LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal

## Table of Contents

### Challenge overview

- Results of SemTab 2021 1-12
  Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita
  Summary: There were 11 submissions to the challenge across 3 rounds. Out of these, 7 participating systems submitted a paper to the challenge. A paper describing a dataset for the challenge was also submitted. We accepted all 8 papers for this volume, 7 as regular papers and 1 as short paper.

### Dataset papers

- BiodivTab: A Table Annotation Benchmark based on Biodiversity Research Data (short paper) 13-18
  Nora Abdelmageed, Sirko Schindler, Birgitta König-Ries

### System papers

- DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation Of Tabular Data 19-31
  Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy
- GBMTab: A Graph-Based Method for Interpreting Noisy Semantic Table to Knowledge Graph 32-41
  Lianzheng Yang, Shuyang Shen, Jingyi Ding, Jiahui Jin
- JenTab Meets SemTab 2021's New Challenges 42-53
  Nora Abdelmageed, Sirko Schindler
- Kepler-aSI at SemTab 2021 54-67
  Wiem Baazouzi, Marouen Kachroudi, Sami Faiz
- MAGIC: Mining an Augmented Graph using INK, starting from a CSV 68-78
  Bram Steenwinckel, Filip De Turck, Femke Ongenae
- MantisTable V: A novel and efficient approach to Semantic Table Interpretation 79-91
  Roberto Avogadro, Marco Cremaschi
- SemTab 2021: Tabular Data Annotation with MTab Tool 92-101
  Phuc Nguyen, Ikuya Yamada, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda

2022-03-02: submitted by Ernesto Jiménez-Ruiz, metadata incl. bibliographic data published under Creative Commons CC0
2022-03-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|