Data Science Chair

    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
    thomas.niebler ..at.. uni-wuerzburg.de    

    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...
      Niebler, T., Becker, M., Pölitz, C., Hotho, A.: Learning Semantic Relatedness From Human Feedback Using Metric Learning. arXiv preprint arXiv:1705.07425. (2017).
    • Extracting Semantics from...
      Niebler, T., Schlör, D., Becker, M., Hotho, A.: Extracting Semantics from Unconstrained Navigation on Wikipedia. KI -- Künstliche Intelligenz. 30, 163–168 (2016).
    • FolkTrails: Interpreting ...
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., Hotho, A.: FolkTrails: Interpreting Navigation Behavior in a Social Tagging System. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM (2016).