Rita Sousa Receives Open Science Grant
Dr. Rita Sousa has achieved an Open Science Grant for providing up-to-date Knowledge Graph Embeddings
Sven Hertling Defended his PhD Thesis
Sven Hertling has defended his PhD thesis on “Knowledge Graph Generation and Integration at Scale”
New Transfer Project on Trustworthy AI
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 Defended His Thesis
Nicolas Heist has successfully defended his thesis on “Exploiting Semi-Structured Information in Wikipedia for Knowledge Graph Construction”
Paper accepted for SIGIR 2024
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 Receives SWSA Distinguished Dissertation Award
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.
Paper accepted for EMNLP 2023
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 ...
New Project on Early Stage Diabetes Detection
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.
Book on RDF2vec Published
The book “Embedding Knowledge Graphs with RDF2vec”, co-authored by Heiko Paulheim together with DWS alumni Petar Ristoski and Jan Portisch, has been published at Springer. The book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to ...
Paper accepted for SIGIR 2023
The paper “Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives” by Andreea Iana, Goran Glavaš,  and Heiko Paulheim has been accepted at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Abstract: The advent ...