On Thursday, September 26th, Michael Schlechtinger has defended his PhD thesis on “Investigating, Predicting, and Mitigating Collusive Behavior in Deep Reinforcement Learning-Based Pricing AIs”, supervised by Prof. Heiko Paulheim. The thesis has been conducted in the KarekoKI project, an ...

The paper “Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation” by Andreea Iana, Goran Glavaš,  and Heiko Paulheim has been accepted at the Findings of the 2024 Conference on Empirical Methods in Natural Language Processing. Abstract: Recent neural news ...

Dr. Rita Sousa has achieved an Open Science Grant for providing up-to-date Knowledge Graph Embeddings

Sven Hertling has defended his PhD thesis on “Knowledge Graph Generation and Integration at Scale”

How can Artificial Intelligence (AI) be used to make comprehensible decisions? This is the subject of a new project at the DWS group, which has received funding from the Federal Ministry of Education and Research (BMBF). Knowledge graphs influence our lives on a daily basis and yet they are little ...

Nicolas Heist has successfully defended his thesis on “Exploiting Semi-Structured Information in Wikipedia for Knowledge Graph Construction”

The paper “MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation” by Andreea Iana, Goran Glavaš,  and Heiko Paulheim has been accepted at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Resource and Reproducibility Track.  ...

Jan Portisch, a former PhD student at the Data and Web Science Group and now a Lead Software Architect at SAP Signavio, has received the SWSA Distinguished Dissertation Award.

The paper “NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation” by Andreea Iana, Goran Glavaš,  and Heiko Paulheim has been accepted at the 2023 Conference on Empirical Methods in Natural Language Processing, System Demonstrations Track. Abstract: NewsRecLib is an open-source ...

The BMBF funds a new project in the field of medical AI and systems medicine. The goal of the KI-DiabetesDetektion project is to integrate indication data from various sources in a knowledge graph and apply machine learning methods to improve the early stage detection of Diabetes.