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 ...
New Project Funded by German Foundation for Peace Research
The German Foundation for Peace Research funds a new project on hate speech analysis on Twitter.
Paper accepted at AKBC
Our paper “Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching” has been accepted at the 4th Conference on Automated Knowledge Graph Construction.
Best Paper Award at Semantics
Our paper “On a Generalized Framework for Time-Aware Knowledge Graphs”, co-authored by Franz Krause, Tobias Weller, and Heiko Paulheim, has been awarded the best paper award at this year's Semantics conference.
Jan Portisch has defended his PhD thesis
Jan Portisch has successfully defended his PhD thesis titled “Exploiting General-Purpose Background Knowledge for Automated Schema Matching” on August 25th.
Best Poster Award at ESWC 2022
The paper “Walk this Way! Entity Walks and Property Walks for RDF2vec” by Jan Portisch and Heiko Paulheim has won the best poster award at ESWC 2022.
Paper accepted at ISWC 2021
Our paper “Background Knowledge in Schema Matching: Strategy vs. Data” has been accepted at the 20th International Semantic Web Conference. The paper has been co-authored by Jan Portisch, Michael Hladik, and Heiko Paulheim. In the paper, we have conducted a number of controlled experiments with ...
Paper accepted at PAAMS
The paper “Winning at Any Cost – Infringing the Cartel Prohibition With Reinforcement Learning” was accepted at the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems.