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MrPekar98/README.md

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. Scalability is a substantial part of my research.

Contact

E-mail: mpch@cs.aau.dk
Twitter (X): @MartinkoPekar
Mastodon: @MrPekar@mastodon.sdf.org

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  1. Simple-Search-Engine Simple-Search-Engine Public

    Text book example of a search engine running on a simple server.

    C++

  2. Tab2KG-benchmark Tab2KG-benchmark Public

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

    Python

  3. kg-lookup kg-lookup Public

    Lookup service for knowledge graphs.

    Java

  4. EDAO-Project/TableSearch EDAO-Project/TableSearch Public

    Semantically Augmented Table Search

    Jupyter Notebook