Tim Holzheim

Tim Holzheim is a researcher at the Department of Computer Science, Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, affiliated with Lehrstuhl Informatik 5 (Database and Information Systems Group). He is actively involved in teaching and research, particularly in the areas of Knowledge Graphs, Semantic Web, and data integration technologies.

• Institution: RWTH Aachen University
• School: Faculty of Mathematics, Computer Science and Natural Sciences
• Department: Department of Computer Science
• Research Group: Lehrstuhl Informatik 5 (DBIS)
• Email: holzheim@dbis.rwth-aachen.de

His research focuses on Knowledge Graphs, Semantic Web technologies, Wikidata, RDF, and GraphQL for semantic data access. He explores methods for knowledge extraction, data integration, and enabling efficient querying and hosting of large-scale semantic datasets. His work bridges theoretical semantic modeling with practical implementation in data systems.

The recent publications highlight a consistent research trajectory in semantic data engineering, particularly in making knowledge graphs more accessible, interoperable, and usable through tools for bootstrapping APIs, analyzing property structures, and semantifying academic data. His contributions appear in workshops co-located with top-tier conferences such as ISWC and ESWC.

There are no listed scientific awards or honors in the provided information.

Tim Holzheim is involved in academic advising and teaching, offering courses such as Datenbanken und Informationssysteme and Knowledge Graph Lab. While no formal students are listed, his supervision likely includes thesis projects and lab participants. He is also engaged in research projects such as NFDI4DS, contributing to national data infrastructure initiatives.

He is a member of the Database and Information Systems (DBIS) research group led by Prof. Dr. S. Decker, which focuses on scalable and semantic data management solutions. The group is active in developing tools and methodologies for knowledge graphs, data spaces, and semantic integration.