All Stories

  1. Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs
  2. BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture
  3. Using Patient Data and Expert Knowledge to Answer “What If” Questions
  4. Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management
  5. Tracing the Impact of Bias in Link Prediction
  6. KGSaw: One Size Does Not Fit All- Planning Methods for Data Fragmentation for Efficiently Creating Knowledge Graphs
  7. Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact
  8. SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning
  9. A neuro-symbolic system over knowledge graphs for link prediction
  10. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
  11. Health Data Ecosystems for the understanding of diseases and treatments
  12. Improving Early Prognosis of Dementia Using Machine Learning Methods
  13. EABlock
  14. Knowledge-Driven Data Ecosystems Toward Data Transparency
  15. Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness
  16. Enhancing virtual ontology based access over tabular data with Morph-CSV
  17. Analyzing a Knowledge Graph of Industry 4.0 Standards
  18. Managing Knowledge in Energy Data Spaces
  19. Trav-SHACL: Efficiently Validating Networks of SHACL Constraints
  20. SDM-RDFizer
  21. Summarizing Entity Temporal Evolution in Knowledge Graphs
  22. Evaluation of metadata representations in RDF stores
  23. Dynamic Composition of Question Answering Pipelines with FRANKENSTEIN
  24. Seamless integration of cyber-physical systems in knowledge graphs
  25. EffTE
  26. HARE
  27. Why Reinvent the Wheel
  28. Experience