Information Systems and Artificial Intelligence

Institute of Computer Science — Department III

At the Department of Information Systems and Artificial Intelligence (Institute of Computer Science III) at the University of Bonn, our primary research and development focus revolves around the development of the next generation of Artificial Intelligence (AI) algorithms and systems.

This development is driven by the far-reaching digitization of society, industry and science, the growth of massive real-world data in various domains known as "Big Data", the rapid development of large-scale computational infrastructure that supports the efficient development of novel AI algorithms and innovative applications, and the wealth of real-world knowledge semantically encapsulated in knowledge graphs.

Our research agenda covers the entire spectrum of intelligent data and learning processes. It includes the representation, management and linking of data in databases and knowledge graphs, the performance of data analysis and pattern recognition using machine learning and deep learning algorithms, and the creation of models and intelligent systems, such as those used in the field of machine vision. The results of our research enable the development of intelligent applications in various areas such as mobility, healthcare, and finance.

Research Highlights

Development of an AI-Supported System for Detecting and Tracking Illegal Trade

The ATTENTION! project analyzes extensive databases and develops machine learning models to understand and recognize patterns of illegal trading activities on a global scale.

About the project

WorldKG: Worldwide Completion of Geographical Knowledge

The WorldKG Knowledge Graph is a comprehensive, large-scale geographic knowledge graph based on OpenStreetMap that provides a semantic representation of geographic entities from over 188 countries.

About the project

FOR 2535 — Anticipation of Human Behavior

This project aims to develop a fundamental technology for applications that require the anticipation of human behavior.

About the project

Working Groups

Our department's research groups include the Machine Learning and Artificial Intelligence Lab (ML AI Lab) headed by Prof. Dr. Stefan Wrobel and Prof. Dr. Christian Bauckhage, the Data Science and Intelligent Systems Group (DSIS) headed by Prof. Dr. Elena Demidova and the Computer Vision Group headed by Prof. Dr. Jürgen Gall.

Our research groups focus on the dynamically evolving areas of computer science, including machine learning, artificial intelligence, data science and computer vision. These areas include the automated analysis of large data sets using intelligent algorithms capable of uncovering hidden knowledge from data, semantically representing this knowledge in knowledge graphs, and building models for prediction and informed decision-making. We incorporate a wide range of real-world, heterogeneous, multimodal datasets, including textual, spatial, temporal, geospatial and multimedia data.

Our work combines theoretical and technical research advances with real-world applications to demonstrate their practical impact and solve real-world problems. Our research groups are closely linked to the Lamarr Institute for Machine Learning and Artificial Intelligence and the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS).