All Stories

  1. Joint Graph Learning for Robust Causal Inference over Knowledge Graphs

    Article • February 2026, ACM (Association for Computing Machinery)

    Huang Hao, Maria-Esther Vidal

  2. Tracing Bias for Fairer Content-Based Misinformation Detection

    Article • May 2025, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  3. Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs

    Article • March 2025, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  4. BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture

    Article • March 2025, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  5. Using Patient Data and Expert Knowledge to Answer “What If” Questions

    Article • March 2025, ACM (Association for Computing Machinery)

    Maria-Esther Vidal, Huang Hao

  6. Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management

    Article • March 2025, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  7. Tracing the Impact of Bias in Link Prediction

    Article • April 2024, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  8. KGSaw: One Size Does Not Fit All- Planning Methods for Data Fragmentation for Efficiently Creating Knowledge Graphs

    Article • April 2024, ACM (Association for Computing Machinery)

    Enrique Iglesias, Maria-Esther Vidal

  9. Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact

    Article • December 2023, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  10. SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning

    Article • December 2023, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  11. A neuro-symbolic system over knowledge graphs for link prediction

    Article • Semantic Web – Interoperability Usability Applicability, June 2023, IOS Press

    Maria-Esther Vidal

  12. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

    Article • Semantic Web – Interoperability Usability Applicability, May 2023, IOS Press

    José Alberto Benítez Andrades, Maria-Esther Vidal

  13. Health Data Ecosystems for the understanding of diseases and treatments

    Article • Semantic Web – Interoperability Usability Applicability, May 2023, IOS Press

    Ernestina Menasalvas, Maria-Esther Vidal, Fotis Aisopos

  14. Improving Early Prognosis of Dementia Using Machine Learning Methods

    Article • ACM Transactions on Computing for Healthcare, July 2022, ACM (Association for Computing Machinery)

    Maria-Esther Vidal, Fotis Aisopos

  15. EABlock

    Article • April 2022, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  16. Knowledge-Driven Data Ecosystems Toward Data Transparency

    Article • Journal of Data and Information Quality, March 2022, ACM (Association for Computing Machinery)

    Maria-Esther Vidal, xaujisgexg@gmail.com syzgvosajv@mailru.com

  17. Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness

    Article • December 2021, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  18. Enhancing virtual ontology based access over tabular data with Morph-CSV

    Article • Semantic Web – Interoperability Usability Applicability, October 2021, IOS Press

    Oscar Corcho, Maria-Esther Vidal

  19. Analyzing a Knowledge Graph of Industry 4.0 Standards

    Article • April 2021, ACM (Association for Computing Machinery)

    Maria-Esther Vidal, Irlan Grangel-Gonzalez

  20. Managing Knowledge in Energy Data Spaces

    Article • April 2021, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  21. Trav-SHACL: Efficiently Validating Networks of SHACL Constraints

    Article • April 2021, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  22. SDM-RDFizer

    Article • October 2020, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  23. Summarizing Entity Temporal Evolution in Knowledge Graphs

    Article • May 2019, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  24. Evaluation of metadata representations in RDF stores

    Article • Semantic Web – Interoperability Usability Applicability, January 2019, IOS Press

    Johannes Frey, Maria-Esther Vidal

  25. Dynamic Composition of Question Answering Pipelines with FRANKENSTEIN

    Article • June 2018, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  26. Seamless integration of cyber-physical systems in knowledge graphs

    Article • April 2018, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  27. EffTE

    Article • April 2018, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  28. HARE

    Article • January 2018, ACM (Association for Computing Machinery)

    Maria-Esther Vidal

  29. Why Reinvent the Wheel

    Article • January 2018, ACM (Association for Computing Machinery)

    Maria-Esther Vidal, Jens Lehmann

  30. Experience

    Article • Journal of Data and Information Quality, December 2017, ACM (Association for Computing Machinery)

    Maria-Esther Vidal