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Intern
    DMIR Research Group

    Semantic Web

    The DMIR group 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. 

    Projects

    We are currently working on the following projects:

    PoSTs I & II

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

    Publications

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

    • ClaiRE at SemEval-2018 Ta... - Download
      ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. Hettinger, Lena; Dallmann, Alexander; Zehe, Albin; Niebler, Thomas; Hotho, Andreas (2018).
       
    • Learning Semantic Related... - Download
      Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. Niebler, Thomas; Becker, Martin; Pölitz, Christian; Hotho, Andreas (2017).
       
    • Extracting Semantics from... - Download
      Extracting Semantics from Unconstrained Navigation on Wikipedia. Niebler, Thomas; Schlör, Daniel; Becker, Martin; Hotho, Andreas in KI (2016). 30(2) 163-168.
       

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    Kontakt

    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Tel.: +49 931 31-86731
    Fax: +49 931 31-86732

    Suche Ansprechpartner

    Hubland Süd, Geb. M2