Successful DFG application: Jean Christoph Jung receives funding for innovative project on ontology and query research
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Prof. Jean Christoph Jung from Chair 1 has been awarded an important grant from the German Research Foundation (DFG) for the project "Learning queries and ontologies from data". The project applied for by Jung together with Prof. Carsten Lutz from the University of Leipzig will be funded for three years. The project will fund one position at each of the two universities.
The aim of the project is to investigate the learning of queries and ontologies from sample data both theoretically and to develop practical implementation options. The research project thus builds a bridge between the fields of logic, databases and the theory of machine learning. The work with graph databases, a flexible and increasingly popular data model, is particularly exciting. The project aims to help users formulate complex queries and ontologies by responding to their examples and expectations of the results.
The focus is on supporting users who often have difficulties formulating ontologies and database queries correctly. Especially when using query languages for graph databases, such as SQL/PGQ, it often becomes challenging for users to create the desired query. The project aims to investigate how machine learning and a targeted suggestion approach can be used to adapt ontologies and queries so that they meet users' expectations - based on positive and negative examples from them.
Chair 1 is currently advertising a doctoral position for the project. Interested doctoral students can apply to participate and actively shape this pioneering field of research.
With this application, Prof. Jean Christoph Jung has once again demonstrated how successful and future-oriented his research projects are. The project not only promises scientific innovation, but also has great potential for the further development of data management technologies and machine learning.