Data Mining and Information Retrieval Group
Raum: B004 (Informatik Gebäude)
Tel: +49 931 / 31 - 89094
Fax: +49 931 / 31 - 86732
thomas.niebler ..at.. uni-wuerzburg.de
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 BibSonomy. For this, i use Metric Learning methods. Additionally, I extract semantic relatedness from navigational data in the web, e.g. from navigation on Wikipedia!
Learning Semantic Relatedness From Human Feedback Using Metric Learning in arXiv preprint arXiv:1705.07425 (2017).
Extracting Semantics from Unconstrained Navigation on Wikipedia in KI -- Künstliche Intelligenz (2016). 30(2) 163–168.
FolkTrails: Interpreting Navigation Behavior in a Social Tagging System in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM ’16 (2016).