Andreas Hotho is a professor at the University of Würzburg and holds the Chair of Data Science. He is the spokesman of the new Centre for Artificial Intelligence and Data Science (CAIDAS) at the JMU Würzburg. He holds a Ph.D. from the University of Karlsruhe, where he worked from 1999 to 2004 at the AIFB in the areas of text, data and web mining, semantic web, and information retrieval. From 2004 to 2009, he was a senior researcher at the University of Kassel, and from 2011 to 2018, a member of L3S in Hannover. Since 2005, he has been leading the development of the social bookmarking and publication-sharing platform BibSonomy. For over a decade, his research group has been engaged in exploring various aspects of data science, with a particular emphasis on NLP, Semantics, Knowledge Graphs, Ranking, Recommendation, and Anomaly Detection, frequently employing Deep Learning. Recently, he has concentrated on utilizing sensor data to analyze bee behavior and developing novel machine learning methods for local climate models in collaboration with geography. Andreas Hotho has had the opportunity to publish over 200 papers in journals and conferences, co-edited special issues and books, and co-chaired workshops. He was honored to receive the SWSA Ten-Year Award at the ISWC 2018 for his work on semantic extraction and the Best Paper Award at the Web Conference 2015 for his analysis of user behavior on the web using the HypTrails method.
