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Katja Hose

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Katja Hose (born 1980) is a professor of computer science at Aalborg University and TU Wien.[1] [2]

Katja Hose
Born1980[3]
EducationMSc (2004) and PhD (2009) in computer science from Ilmenau University of Technology
OccupationProfessor
EmployerAalborg University & TU Wien

Education

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In 2004, Katja Hose completed her master's degree in computer science at the Ilmenau University of Technology in Germany. In 2009 she received her PhD in computer science - also from Ilmenau University of Technology.[4]

Career

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Since 2012, Katja Hose has been affiliated with Aalborg University. In 2018, she was appointed as a professor in computer science after having received a grant from the Poul Due Jensen Foundation.[5] Katja Hose researches web science and is involved in the fields of big data, machine learning, and semantic technology.[6][7][8]

Her research is based on examining vast amounts of open data which has not been used in prior research. By doing so, this method of research is able to provide her results with more accurate and reliable information.

Furthermore, her work is targeted at creating the best possible conditions for fact-checking by enabling machines to automatically find, process and interpret information. Thereby, this technology functions somewhat like a personal digital assistant, however, Hose's research will be based on data available to the public and will not be bound to a specific corporation or service provider.[5][7][9]

As of March 2023 Hose is also affiliated with TU Wien where she is also a professor of computer science. [10]

Grants

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Katja Hose is a recipient of a YDUN grant[11] and the Sapere Aude grant from Independent Research Fund Denmark.[12]

References

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  1. ^ "Katja Hose". Aalborg University's Research Portal. Retrieved 2020-05-05.
  2. ^ "Katja Hose". TU Wien Informatics.
  3. ^ "Katja Hose". Danmarks Frie Forskningsfond. Retrieved 17 July 2021.
  4. ^ "Katja Hose". people.cs.aau.dk. Retrieved 2020-05-05.
  5. ^ a b "Poul Due Jensen Foundation - New AAU Professor to Harness Massive Information". Retrieved 2020-05-05.
  6. ^ "dblp: Katja Hose". dblp.org. Retrieved 2020-05-05.
  7. ^ a b "Querying the Web of Data | SEMANTiCS 2019". 2019.semantics.cc. Retrieved 2020-05-05.
  8. ^ Deb Nath, Rudra Pratap; Hose, Katja; Pedersen, Torben Bach; Romero, Oscar; Bhattacharjee, Amrit (2020-04-19). "SETLBI: An Integrated Platform for Semantic Business Intelligence". Companion Proceedings of the Web Conference 2020. New York, NY, USA: ACM. pp. 167–171. doi:10.1145/3366424.3383533. hdl:2117/188695. ISBN 978-1-4503-7024-0. S2CID 218522570.
  9. ^ "Katja Hose". Danmarks Frie Forskningsfond. Retrieved 2020-05-05.
  10. ^ "Katja Hose". TU Wien Informatics.
  11. ^ khs. "YDUN Grants from the Danish Council for Independent Research, October 2014 — Uddannelses- og Forskningsministeriet". ufm.dk. Retrieved 2020-05-05.
  12. ^ "Research leaders 2018". Danmarks Frie Forskningsfond. Retrieved 2020-05-05.
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