SeWeBMeDa 2024
Semantic Web Solutions for Large-Scale Biomedical Data Analytics 2024

Table of Contents

• Preface
  Summary: There were 16 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume.

Session 1: Keynote

• Towards Biomedical Neurosymbolic AI: From Knowledge Infrastructure to Explainable Predictions
  Michel Dumontier

Session 2: Healthcare and Life Sciences Knowledge Graphs

• Integrating Multi-Modal Spatial Data using Knowledge Graphs – a Case Study of Microflora Danica
  Mads Corfixen, Thomas Heede, Tomer Sagi Mads Albertsen, Thomas D. Nielsen, Katja Hose
• Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction
  Rita T. Sousa, Heiko Paulheim

Session 3: Artificial Intelligence and Healthcare and Life Sciences Knowledge Graphs

• Exploring the potential of Artificial Intelligence based Chatbots for generating Federated SPARQL queries over Bioinformatics Knowledge Graphs
  Sourav Maiti, Qurratal Ain Fatimah, Syeda Mah E Fatima, Ali Hasnain

Session 4: Text, Data and Ontologies in Healthcare and Life Sciences

• Modelling the EGFR through the Protein Conformation Ontology
  Giacomo De Colle, Morgan Mitchell, Alexander D. Diehl
• Estimating the Quality of Translated Medical Texts using Back Translation & Resource Description Framework
  Vinay Neekhra, Dipti Misra Sharma