Carsten Felix Draschner, PhD

Research

  1. Scalable Distributed Machine Learning for Knowledge Graphs

    PhD Thesis - Carsten Felix Draschner, Dr.rer.nat, supervisors - Jens Lehmann and Stefan Wrobel

    PhD Thesis

    TL;DR ⏱️

    • Scalable Distributed Machine Learning
    • Knowledge Graphs
    • Ethical and Sustainability Dimensions
    (Read More)  (Original-Websource)
  2. SimE4KG - Distributed Explainable multi-modal Semantic Similarity Estimation for Knowledge Graphs

    2023 International Journal of Semantic Computing, Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann

    SimE4KG

    TL;DR ⏱️

    • Distributed Explainable multi-modal Semantic Similarity Estimation for Knowledge Graphs
    • Reproducible, reusable, and explainable results
    • SANSA stack integration
    (Read More)  (Original-Websource)
  3. Ethical and Sustainability considerations for Knowledge Graphs based Machine Learning

    2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann

    Ethical and Sustainability considerations for Knowledge Graphs based Machine Learning

    TL;DR ⏱️

    • Ethical and sustainability considerations in KG-based ML
    • Responsible AI check, technical system setup
    • Data insights, machine learning, training & evaluation, deployment
    (Read More)  (Original-Websource)
  4. DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs

    Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM), Carsten Felix Draschner, Claus Stadler, Farshad B. Moghaddam, Jens Lehmann, and Hajira Jabeen

    DistRDF2ML

    TL;DR ⏱️

    • Scalable Machine Learning Pipelines for RDF Knowledge Graphs
    • Fixed-length numeric feature vectors for ML
    • Semantic structure for enhanced reusability, explainability, and reproducibility
    (Read More)  (Original-Websource)
  5. Literal2Feature - An automatic scalable RDF graph feature extractor

    International Conference on Semantic Systems (SEMANTICS), Farshad B. Moghaddam, Carsten Felix Draschner, Jens Lehmann and Hajira Jabeen

    Literal2Feature

    TL;DR ⏱️

    • Scalable RDF graph feature extraction
    • Explainable feature matrix
    • Integration with the Semantic Analytics Stack
    (Read More)  (Original-Websource)
  6. DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs

    2021 IEEE 15th International Conference on Semantic Computing (ICSC), Carsten Felix Draschner, Jens Lehmann and Hajira Jabeen

    DistSim

    TL;DR ⏱️

    • Scalable Similarity Estimation for RDF Knowledge Graphs
    • MinHash with locality sensitivity hashing
    • SANSA stack integration
    (Read More)  (Original-Websource)
  7. Smart Chef - Evolving Recipes

    Proceedings of Evostar 2019 and Master Thesis - Carsten Felix Draschner supervised by Hajira Jabeen, Jens Lehmann

    Smart Chef

    TL;DR ⏱️

    • Evolutionary Algorithm for Culinary Arts
    • Autonomous Recipe Evolution
    • Master Thesis
    • University of Bonn
    (Read More)  (Original-Websource)
  8. The development of complexity in chip design and its visualization within Virtual Reality

    Chip-Design Exhibition in Arithmeum and Bachelor Thesis - Carsten Felix Draschner in colab with Jonas Weinz ❤️

    Model Size

    TL;DR ⏱️

    • Visualize Complexity of modern Chip Designs
    • Visualization in VR Environment
    • Bachelor Thesis
    • University of Bonn
    (Read More)  (Original-Websource)