DWS Area: Web Data Mining

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 ...

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.

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 ...

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 ...

The German Foundation for Peace Research funds a new project on hate speech analysis on Twitter.

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.

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.