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MrPekar98/README.md

Image Martin Pekár

PhD fellow at the Department of Computer Science, Aalborg University

About me

My research area is in semantic data lakes, where I aim to enable example-driven data discovery using semantic-aware table search utilizing a reference knowledge graph (KG). My research includes table-to-KG entity linking and (adaptive) (filtered) approximate nearest neighbor vector search. Scalability is a substantial part of my research.

Contact

E-mail: mpch@cs.aau.dk
Twitter (X): @MartinkoPekar

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  1. Tab2KG-benchmark Tab2KG-benchmark Public

    Table to KG entity linking benchmark evaluation scalability, data dynamism, and KG generalizability.

    Python

  2. kg-lookup kg-lookup Public

    Lookup service for knowledge graphs.

    Java

  3. EDAO-Project/TableSearch EDAO-Project/TableSearch Public

    Semantically Augmented Table Search

    Jupyter Notebook 2 1

  4. keyword-kg-linker keyword-kg-linker Public

    Keyword-based table to knowledge graph entity linker.

    Java 1

  5. dkw-aau/Jazero dkw-aau/Jazero Public

    Semantic data lake system

    Java

  6. filter-adaptive-hnswlib filter-adaptive-hnswlib Public

    Forked from nmslib/hnswlib

    Modification of hnswlib supporting filtered search and workload adaptability.

    C++