All Stories

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