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

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