News - Data Science Chair

The interactive web portal of the BigData@Geo project has been available since October 2018. After consultation with the cooperating small and medium-sized enterprises (SME), the portal has now been fundamentally revised.

Our paper "LM4KG: Improving Common Sense Knowledge Graphs with Language Models" concerning the enrichment of knowledge graphs through a pre-trained language model was presented at the International Semantic Web Conference (ISWC) 2020.

Our Music & AI Project was presented within the section "Mozart & KI" at Wuerzburg Web Week.

This teaching project wants to explore the ability of Artificial Intelligence and Machine Learning to understand the fundamental creative ideas of music and composition and is part of the Mozartfest initiative Mozart & KI.

Our article iNALU: Improved Neural Arithmetic Logic Unit has recently been published in the section Machine Learning and Artificial Intelligence of the Frontiers Artificial Intelligence Journal.

For their paper “Financial Fraud Detection with Improved Neural Arithmetic Logic Units” Daniel Schlör, Markus Ring, Anna Krause and Andreas Hotho were presented with the Best Paper Award on the Fifth Workshop on MIning DAta for financial applicationS Co-located with ECML-PKDD 2020.

Today we're presenting our paper "Integrating Keywords into BERT4Rec for Sequential Recommendation" at the KI2020.

Studying in Würzburg - between vineyards, fortress and residence? You can choose from about 250 subjects. If this has sparked your interest, this video will give you a little insight into the possibilities and student life in Würzburg.

Our short paper "Where to Submit? Helping Researchers to Choose the Right Venue" was accepted for publication in Findings of EMNLP.

Together with researchers from Leipzig University and Bauhaus University Weimar, we organized this year's ECML-PKDD discovery challenge called "ChAT", which is an acronym for "Chat Analytics for Twitch".

Abgeordnete des bayrischen Landtags besuchten die Universität Würzburg zum Austausch über das BigData@Geo Projekt.