| Vol-3466 urn:nbn:de:0074-3466-1 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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).

# SeWeBMeDa 2023
Semantic Web Solutions for Large-Scale Biomedical Data Analytics 2023

### Proceedings of the 6th Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics
co-located with ESWC 2023

### Hersonissos, Greece, May 29, 2023.

Edited by

### Ali Hasnain *
Tracy Robson *
Michel Dumontier **
Alba Morales Tirado ***
Dietrich Rebholz-Schuhmann ****

* University of Medicine and Health Science, Pharmacy and Biomolecular Sciences
** Maastricht University, Institute of Data Science
*** The Open University , Knowledge Media Institute
**** Information Centre for Life Sciences , ZB MED

## Table of Contents

- Preface
  Summary: There were 14 papers submitted to this workshop. Out of these, 5 papers were accepted for this volume.

### Session 1: Keynote

- Can Knowledge Graphs Contribute to Personalized Therapies?
  Prof. Dr. Maria Esther Vidal

### Session 2: Machine Learning and Artificial Intelligence on Healthcare and Life Sciences Data

- On the Potential of Artificial Intelligence Chatbots for Data Exploration of Federated Bioinformatics Knowledge Graphs
  Ana Claudia Sima, Tarcisio Mendes Farias
- Towards Machine-Assisted Biomedical Data Preparation: A Use Case on Disparity in Access to Health Care
  Paulo Pinheiro, Henrique Santos, Miao Qi, Kristin P. Bennett, Deborah L. McGuinness

### Session 3: Healthcare and Life Sciences Knowledge Graphs

- Translating Clinical Decision Logic Within Knowledge Graphs to Smart Contracts
  William Van Woensel, Manan Shukla, Oshani Seneviratne

### Session 4: Data Interoperability in Healthcare and Life Sciences Data and Documents

- Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements
  Rita T. Sousa, Sara Silva, Catia Pesquita
- A Comparison of Vector-based Approaches for Document Similarity Using the RELISH Corpus
  Rohitha Ravinder, Tim Fellerhoff, Vishnu Dadi, Lukas Geist, Guillermo Rocamora, Muhammad Talha, Dietrich Rebholz-Schuhmann, Leyla Jael Castro

2023-07-20: submitted by Alba Morales Tirado, metadata incl. bibliographic data published under Creative Commons CC0
2023-08-29: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|