Data Science Chair

    Dr. Thomas Niebler

    Dr. Thomas Niebler

    Julius-Maximilians-Universität Würzburg
    Data Mining and Information Retrieval Group
    Am Hubland
    D-97074 Würzburg

    Raum:  B004 (Informatik Gebäude)
    Tel:      +49 931 / 31 - 89094
    Fax:     +49 931 / 31 - 86732

    About me

    I finished my diploma in Mathematics in January 2012. In the same month, I started to work at the Data Mining and Information Retrieval Group in the POSTS and POSTS-II projects. I'm interested in a variety of topics, such as Natural Language Understanding, Machine Learning for NLU/NLP, (Big) Data Mining, User Behavior Analysis and the Semantic Web. Concretely, I work on methods to not only discover, but also learn semantic relations between tags from social web platforms such as BibSonomyFor this, i use Metric Learning methodsAdditionally, I  extract semantic relatedness from navigational data in the web, e.g. from navigation on Wikipedia!

    Selected publications

    • Learning Semantic Related...
      Learning Semantic Relatedness From Human Feedback Using Metric Learning. Niebler, Thomas; Becker, Martin; Pölitz, Christian; Hotho, Andreas. In arXiv preprint arXiv:1705.07425. 2017.
    • Extracting Semantics from...
      Extracting Semantics from Unconstrained Navigation on Wikipedia. Niebler, Thomas; Schlör, Daniel; Becker, Martin; Hotho, Andreas. In KI -- Künstliche Intelligenz, 30(2), pp. 163–168. Springer, 2016.
    • FolkTrails: Interpreting ...
      FolkTrails: Interpreting Navigation Behavior in a Social Tagging System. Niebler, Thomas; Becker, Martin; Zoller, Daniel; Doerfel, Stephan; Hotho, Andreas. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, of CIKM ’16. ACM, 2016.