Diego Rincon-Yanez

Knowledge Graphs & Neuro-Symbolic AI

Research focus

My work combines Semantic Web technologies, Knowledge Graphs, and embeddings for knowledge discovery, semantic integration, and knowledge base construction. I focus on methods that connect research with practical applications.

I welcome collaborations with researchers, industry professionals, and academic institutions working on Knowledge Graphs, Neuro-Symbolic AI, and related topics.

News, Updates and Notes

Industry Sabbatical at Bosch Research

Date: May 2024

Learn more about my time at the Bosch Research Center in Renningen, Germany, where I worked into the integration of symbolic AI and neural AI (Neuro-Symbolic AI) in Smart Manufacturing Scenarios, I had the opportunity to work with top researchers, participate in EU projects like DataCloud, and explore cutting-edge developments in AI. Check out the full note for more details on my experience

Click here to read the full note

Selected Research and Projects

  1. 2024

    Scaling Scientific Knowledge Discovery with Neuro-Symbolic AI and Large Language Models

    SKGI workshop at SEMANTiCS

  2. 2023

    Enhancing downstream tasks in Knowledge Graphs Embeddings: A Complement Graph-based Approach Applied to Bilateral Trade

    Procedia Computer Science

  3. 2023

    Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings

    Journal of King Saud University · Computer and Information Sciences

  4. 2022

    FAIR Knowledge Graph construction from text, an approach applied to fictional novels

    TEXT2KG workshop at ESWC

All publications