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    Axel Ngonga

    Full Professor of Data Science at Paderborn University

    Axel-Cyrille Ngonga Ngomo is a Full Professor of Data Science at the University of Paderborn, where he heads the Data Science research group DICE and the Joint Artificial Intelligence Institute Paderborn-Bielefeld (JAII).12 He completed his studies in computer science at the University of Leipzig and received his doctorate in 2009.2 His research focuses on foundational research on data-driven methods to improve the lifecycle of knowledge graphs, including techniques for extraction, verification, integration, and fusion of knowledge graphs, as well as their use in machine learning and applications such as question answering systems and chatbots.2

    Professor Ngonga has received numerous prestigious international research awards, including the Next Einstein Fellowship and the Lamarr Fellowship.2 He is involved in several notable research projects, such as the SAIL Research Network, two MSCA Doctoral Networks (KnowGraphs and LEMUR), and the Research and Innovation Action ENEXA.2 He is also a Principal Investigator in the Collaborative Research Center TRR318 "Constructing Explainability" funded by the German Research Foundation (DFG).2

    His academic profile includes:

    • Email: axel.ngonga@uni-paderborn.de
    • Phone: +49 5251 60-1761
    • ORCID: 0000-0001-7112-3516
    • Office: Fürstenallee 11, 33102 Paderborn, Room F1.2251

    Professor Ngonga has published extensively in the fields of knowledge graphs, semantic web, and machine learning, with his work being highly cited in the academic community.3 He has also served in various functions at multiple international conferences, including ISWC, ESWC, WWW, AAAI, ECAI, and IJCAI.2

    Highlights

    Aug 25 · uni-paderborn.de
    Prof. Dr. Axel-Cyrille Ngonga Ngomo - Kontakt - Universität Paderborn
    Prof. Dr. Axel-Cyrille Ngonga Ngomo - Kontakt - Universität Paderborn
    ‪Axel-Cyrille Ngonga Ngomo‬ - ‪Google Scholar‬
    Prof. Axel Ngonga on Data Science - CREATIVE/BY/COLLECTIVE

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