Aalborg University

Department of Computer Science

Selma Lagerlöfs Vej 300

DK-9220 Aalborg Ø.


Office: 2.2.10

Email: khose [at] cs [dot] aau [dot] dk

Phone: +45 9940 8886


  1.   since 2023: Professor of Data Management at TU Wien

  2.   since 2018: Professor (Poul Due Jensen Foundation) at Aalborg University

  3.   2015 - 2018: Associate Professor at Aalborg University

  4.   2012 - 2015: Assistant Professor at Aalborg University

  5.   2009 - 2012: Postdoc at Max Planck Institute for Informatics

  6.   2009: PhD in Computer Science at Ilmenau University of Technology

Short Biography

Professional Activities (selected)


committees (selected)

TheWebConf 2022/2021/2020/2019/2018, VLDB 2022/ 2021/2020/2019/2018/2017/2015/2014/2013, SIGMOD 2023/2022/2019/2017/2016, EDBT 2022/2021/2020/ 2019/2018/2017/2016/2015, ISWC 2021/2020/2019/ 2018/2017/2016/2010, ESWC 2022/2020/2019/2018/ 2017/2016/2015/2013/2012, ICDE 2018/2016

journal reviewer

chairs and organization

Programme Co-Chair EDBT 2023, ESWC 2021, Demos Co-Chair SIGMOD 2021, VLDB 2020 PhD Workshop Co-Chair, ESWC 2020 Workshop & Tutorials Co-Chair, Co-Organizer DOLAP 2020, SIGMOD 2018 & 2019 New Researcher Symposium Co-Chair, ICDE 2018 & 2019 Publicity Chair, ESWC 2019 Challenges Co-Chair, EDBT 2018 Proceedings Chair, ESWC 2017 Posters & Demos Co-Chair, ESWC 2016 Track Co-Chair

A word cloud generated from a list of my publications using Wordle.


Tag cloud



editorial boards

I am looking for PhDs/postdocs!

April 2023 (Publications): Our work on "Optimizing SPARQL Queries over Decentralized Knowledge Graphs" was accepted at the Semantic Web Journal, authors: C. Aebeloe, G. Montoya, K. Hose

April 2023 (Publications): Our work on "GLENDA: Querying RDF Archives with SPARQL" was accepted as a demo at ESWC 2023, authors: O. Pelgrin, R. Taelman, L. Galárraga, K. Hose (details)

March 2023 (Conference): It has been a great pleasure to serve as PC-cochair for EDBT 2023 together with S. Bhowmick!

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)

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.



TU Wien

Databases and Artificial Intelligence

Favoritenstraße 9

A-1040 Wien


Office: HC0315

Email: katja [dot] hose [at] tuwien [dot] ac [dot] at
Phone: +43 1 58801 192221