Intern
    Data Science Chair

    Knowledge Graph Representation

    05.06.2023

    As one of their predominant research areas, the semantic web community builds knowledge graphs, which are machine-readable graphs that contain knowledge from all over the world wide web. Recently, researchers have shown great interest in improving AIs by letting them access this explicit knowledge. As such, how to best represent these knowledge graphs in a vectorized format that is usable by common AIs is an ongoing research question.

    This work aims to create improved knowledge graph representations for graphs where additional textual descriptions of the contained knowledge are available.

    Supervisor: Janna Omeliyanenko

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