DWS Area: Web Data Mining, Research

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 ...

We are happy to anounce that the paper “PyClause – Simple and Efficient Rule Handling for Knowledge Graphs” by Patrick Betz, Luis Galarraga, Simon Ott, Christian Meilicke, Fabian Suchanek and Heiner Stuckenschmidt was awarded with the IJCAI 2024 Best Demo Award!  The Code is available here: ...

We are happy to announce that the paper “AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation” by Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa and Heiner Stuckenschmidt has been accepted for the 6th Intenational Conference on Process Mining in ...

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

We are happy to announce that the Paper “Fact Probability Vector Based Goal Recognition” by : Nils Wilken, Lea Cohausz, Christian Bartelt and Heiner Stuckenschmidt has been accepted for the 50th European Conference on Artificial Intelligence (CORE A, 23% Acceptance rate).

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”

We are happy to announce that four PhD Students from the AI group have their papers accepted for IJCAI 2024 (A* ranked) in Jeju, Korea: Julia Gastinger: “History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting” (Research Track) Andrej Tschalzev: “Enabling Mixed Effects Neural ...

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 ...