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KI Akadamie OWL

Funded project (July 2024 - December 2028)

About the project

The KI-Akademie OWL researches how artificial intelligence can be used responsibly, efficiently and sustainably. The focus is on identifying the risks of highly complex AI models and developing specialised, resource-efficient AI solutions. In particular, we concentrate on two highly relevant areas: the safety of AI processes and the development of AI methods for applications with limited data, for example in the context of inclusion. Through interdisciplinary research, we bring together technology, social sciences and the humanities to make AI understandable, safe and inclusive - for companies, educational stakeholders and society.
Funding program
BMBF

Publications

ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian

By Ria Hari Gusmita, Asep Fajar Firmansyah, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

Data & Knowledge Engineering, 2026, #article

Multilingual Relation Extraction: A Survey

By Manzoor Ali, René Speck, Hamada M. Zahera, Muhammad Saleem, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

IEEE Access, 2025, #article

Benchmarking Knowledge Editing using Logical Rules

By Tatiana Moteu Ngoli, N'Dah Jean Kouagou, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

The Semantic Web -- ISWC 2025, 2025, #inproceedings

ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian

By Ria Hari Gusmita, Asep Fajar Firmansyah, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

Data & Knowledge Engineering, 2026, #article

Multilingual Relation Extraction: A Survey

By Manzoor Ali, René Speck, Hamada M. Zahera, Muhammad Saleem, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

IEEE Access, 2025, #article

Benchmarking Knowledge Editing using Logical Rules

By Tatiana Moteu Ngoli, N'Dah Jean Kouagou, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

The Semantic Web -- ISWC 2025, 2025, #inproceedings