DWS Area: Web Data Mining

Job Opening: One Year PostDoc on Reliable AI Evaluation

Postdoctoral Researcher (m/f/d) in Reliable Evaluation of Generative AI University of Mannheim, Data and Web Science Group (DWS)Fixed-term position (1 year, full-time)Starting date: As soon as possible About the Project The Data and Web Science Group at the University of Mannheim is seeking a ...

New Project on Reliable Evaluation of Generative AI

The Vector Foundation funds the project ZEGeKI (Zuverlässige Evaluation Generativer KI, English: Reliable Evaluation of Generative AI). The motivation of this project lies in the observation that, following open science principles, benchmarks for evaluating AI systems (not limited to, but ...

Franz Krause Defended his PhD

Today, Franz Krause has defended his PhD thesis on Process-Driven RDF Knowledge Graphs as Semantic Digital Twins for Industry 5.0

Andreea Iana Defended her PhD

Today, Andreea Iana has defended her PhD on “Multifaceted Neural News Recommendation: Common Componentes, Bias Mitigation, and Multilinguality”.

Two Papers Accepted at ESWC 2026

Two papers have been accepted at the European Semantic Web Conference 2026.

Paper accepted at ACM TORS

The paper “Multilinguality in MIND: Advancing Cross-lingual News Recommendation with a Multilingual Dataset” by Andreea Iana, Goran Glavaš, and Heiko Paulheim has been accepted in ACM Transactions on Recommender Systems (TORS). Abstract: Digital news platforms rely on recommendation systems to ...

Open Science Grant for Andreea Iana and Martin Böckling

Andreea Iana and Martin Böckling receive a grant from the university's Open Science Office for the SpatialBenchRAG project.

Two Papers Accepted at ISWC 2025

The DWS group has two papers accepted at the International Semantic Web Conference (ISWC) 2025.

Paper accepted at ECIR 2025

The paper “News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation” by Andreea Iana, Fabian David Schmidt, Goran Glavaš, and Heiko Paulheim has been accepted at the 47th European Conference on Information Retrieval. Abstract: Rapidly ...

Michael Schlechtinger defended his PhD Thesis

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 ...