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Michael Färber is substitute professor of the research group Web Science at the KIT-institute AIFB since October 1, 2020.


Research

Michael's research interests:

  • natural language processing,
  • machine learning, and
  • knowledge representation (e.g., knowledge graphs).


His current main focus is on scholarly data mining and AI4Peace. More information can be found at his homepage and on Google Scholar.
Recently developed demonstration systems:


Recently created data sets:


Open Positions and Theses

Open student assistant job (Hiwi) in the area of machine learning, natural language processing, and/or Semantic Web technologies: [1]
Michael Färber has supervised around 40 Bachelor/Master theses. Current calls for Bachelor/Master thesis:

 Titel
Thema4420Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4421Implementing an Approach for Linking Text to the Knowledge Graph Wikidata
Thema4423Automatically Recommending Citations for Texts Using Neural Networks
Thema4554Google, Microsoft, & Co. – How Big is the Influence of Enterprises on Computer Science Research?
Thema4574Deep Learning + Knowledge Graphs

All topics are open to English and German-speaking students.
Many of the thesis topics can also be written at a partner institution abroad (e.g. in Japan, Italy, France) and funded by the DAAD, given that the application is made one year in advance. More information under Web_Science/DAAD-Stipendium/en.



Publications
Publications


Active Projects
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AI in Peacemaking

External Link: https://mediatingmachines.com/

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digilog@bw

External Link: https://digilog-bw.de

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ProData

External Link: http://www.pro-data.org


Research area
Semantic Search, Machine Learning, Text Mining, Semantical Annotation, Information Extraction, Natural Language Processing, Knowledge Discovery, Artificial Intelligence, Data Science, Semantic Web


KIT Functions and Competence Field

Cognition and Information Engineering