Deutsch Intern
    Data Science Chair

    Semantic Web

    The Data Science Chair researches semantic relations in the web and the real world. Relations exist for example between objects (the apple is in the basket), persons (Tom and Annie are friends) and general concepts (dogs are canines) and may be leveraged from different sources: link networks, hashtags, text, tags or user behaviour. We develop new methods to extract and classify semantic entities and relations and utilize them to build ontologies, which in turn can be applied to various tasks like language recognition or question answering systems. 


    We are currently working on the following projects:

    PoSTs I & II

    Exploring mutual influences of user behavior and emergent semantics in the social web.

    Selected Publications

    Here is a list of selected publications. You can find the full list here.

    • ClaiRE at SemEval-2018 Ta...
      ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings Hettinger, Lena; Dallmann, Alexander; Zehe, Albin; Niebler, Thomas; Hotho, Andreas in Proceedings of International Workshop on Semantic Evaluation (SemEval-2018) (2018).
    • Learning Semantic Related...
      Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning Niebler, Thomas; Becker, Martin; Pölitz, Christian; Hotho, Andreas in ISWC’17 (2017).
    • Extracting Semantics from...
      Extracting Semantics from Unconstrained Navigation on Wikipedia Niebler, Thomas; Schlör, Daniel; Becker, Martin; Hotho, Andreas in KI (2016). 30(2) 163–168.
    • Discovering Shared Concep...
      Discovering Shared Conceptualizations in Folksonomies Jäschke, Robert; Hotho, Andreas; Schmitz, Christoph; Ganter, Bernhard; Stumme, Gerd in Web Semantics: Science, Services and Agents on the World Wide Web (2008). 6(1) 38–53.
    • Ontologies Improve Text Document Clustering Hotho, A.; Staab, S.; Stumme, G. in Proc. of the ICDM 03, The 2003 IEEE International Conference on Data Mining (2003). 541–544.