Prof. Jens Lehmann from the University of Bonn in the panel discussion of the workshop of ‘New Trends in Representation Learning with Knowledge Graphs’ 

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases took place in Würzburg, Germany, from the 16th to the 20th of September 2019. This event is the premier European machine learning and data mining conference and builds upon over 19 years of successful events and conferences held across Europe. LAMBDA had a strong presence with its partners at the ECML PKDD 2019 conference by

• organizing a workshop of ‘New Trends in Representation Learning with Knowledge Graphs’  by the University of Bonn,
• presenting a joint paper on ‘Improving Access to Science for Social Good’ (the University of Bonn  and the University of Oxford).

Knowledge Graphs are becoming the standard for storing, retrieving and querying structured data. In academia and in industry, they are increasingly used to provide background knowledge. Over the last years, several research contributions are made to show machine learning especially representation learning is successfully applied to knowledge graphs enabling inductive inference about facts with unknown truth values. In the New Trends in Representation Learning with Knowledge Graphs  we focused on the most exciting new developments in Knowledge Graph learning, bridging the gap to recent developments in different fields. Also, we want to bring together researchers from different disciplines but united by their adoption of earlier mentioned techniques from machine learning.

The University of Oxford and University of Bonn presented a joint scientific work entitled ‘Improving Access to Science for Social Good’. The publication has strong relevance to the Fridays for future and presented on 20th September where many people all over the world joined this movement. LAMBDA is happy to be part of such movement in a scientific way. The research work is focused on using Knowledge Graphs and AI approaches to make scientific results accessible for special target group of students who are working on making positive impact on society and environment towards a social good. It is very well aligned with general goal of LAMBDA. 

Dr. Sahar Vahdati from university of Oxford presenting the work at ‘The Fourth Workshop on Data Science for Social Good’.

The whole conference is one of the most important and leading conferences in Knowledge Graphs, Machine Learning and Big Data topics in the whole Europe. We are very happy that, LAMBDA’s partner, Fraunhofer IAIS, was the gold sponsor of such an impactful event and the other two partners, University of Oxford and University of Bonn had a strong presence.