I am looking for PhDs/postdocs!

March 2023 (Publications): What a wonderful start in Vienna with 5 publications accepted in and around TheWebConf 2023, all notifications came within 2 days!

1. ‣"Visualizing How-Provenance Explanations for SPARQL Queries" was accepted as a demo at TheWebConf 2023, authors: L. Galárraga, D. Hernandez, A. Katim, K. Hose
   

2. ‣"Automated Ontology Evaluation: OntoEval: an Automated Ontology Evaluation System" was accepted as a demo at TheWebConf 2023, authors: A. Zaitoun, T. Sagi, K. Hose
   

3. ‣"Evaluating Coverage and Correctness using a Domain Corpus" was accepted at the NLP4KGC workshop at TheWebConf 2023, authors: A. Zaitoun, T. Sagi, K. Hose
   

4. ‣"Scientific Data Extraction from Oceanographic Papers" was accepted at the Sci-K workshop at TheWebConf 2023, authors: B. Eyðfinsson Veyhe, T. Sagi, K. Hose
   

5. ‣"Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true" was accepted at the KGS workshop at TheWebConf 2023, authors: D. Garigliotti, J. Bjerva, F. Årup Nielsen, A. Butzbach, I. Lyhne, L. Kørnøv, K. Hose
   

March 2023: I have started a new position as full professor of Data Management at TU Wien!

February 2023 (Publication): Our work on "SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes" was accepted as a demo at SIGMOD 2023, authors: K. Rabbani, M. Lissandrini, K. Hose (details)

February 2023 (Publication): Our work on "Diagnosis Prediction over Patient Data using Hierarchical Medical Taxonomies" was accepted at the HEDAI workshop at EDBT 2023, authors: E. R. Hansen, T. Sagi, K. Hose

December 2022 (Publication): Our work on "Extraction of Validating Shapes from very large Knowledge Graphs" was accepted at VLDB 2023, authors: K. Rabbani, M. Lissandrini, K. Hose (details)

I am a full professor of Data Management at TU Wien‘s Databases and Artificial Intelligence research unit. As a professor in the Department of Computer Science at Aalborg University, Denmark, I have been leading the Data, Knowledge, and Web Engineering. Prior to joining Aalborg University, I was a postdoc in Gerhard Weikum's Databases and Information Systems group at the Max Planck Institute for Informatics in Saarbrücken, Germany, and received my PhD in Computer Science from Ilmenau University of Technology, Germany.

My research is rooted in data and knowledge engineering and spans theory, algorithms, and applications of Data Science including graph databases, knowledge graphs, querying, analytics, and machine learning. In the past couple of years, I have gained extensive experience in interdisciplinary data science in collaborations with colleagues from bioscience, health, and environmental assessment.