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Michael Färber is the deputy professor (W3) of the research group Web Science at the KIT-institute AIFB since October 1, 2020. He is also a Helmholtz AI Associate.


Personal Website


Research Interests

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

Among other things, Michael Färber pursues research on scholarly data mining (e.g., scientific impact quantification), scholarly recommender systems (e.g., recommending citations, papers, data sets, and neural networks), and scholarly knowledge graphs (e.g., modeling papers, authors, methods, and datasets). Furthermore, he develops AI solutions for peace mediation (see AI4Peace).

More information can be found at his homepage and on Google Scholar.

Michael Färber's publications.

Michael Färber on

Online Demo Systems

Recently developed demonstration systems:

Data Sets

Recently created data sets:

  • DSKG:
    • ...a knowledge graph representing datasets.
  • unarXive:
    • ... contains the full texts of all papers on with further annotations.
  • Microsoft Academic Knowledge Graph:
    • ... a knowledge graph containing the metadata of almost all publications in all scientific disciplines.
  • FAIRnets:
    • ...a knowledge graph with metadata about neural networks.

Code, Data, and Presentations

  • The implementations are linked in the publications and can usually be found on GitHub.
  • Created datasets are linked in the publications and can usually be found on Zenodo.
  • Presentations can be found on YouTube.

Open Positions and Theses

Open PhD/Postdoc Positions

In the area of natural language processing, machine learning, or knowledge graphs, I have open positions available, see here. If you are interested in it, feel free to write me an informal email.

Open student assistant jobs (Hiwis)

  • in the area of machine learning, natural language processing, and/or Semantic Web technologies: [1]
  • in Semantic MediaWiki or PHP: [2].
  • for knowledge graph-based methods for explaining recommender systems: [3].
  • for knowledge graph-based technology forecast and technology and innovation management (TIM).

Current calls for Bachelor/Master thesis

Thema4864Using Quantum Computing in Natural Language Processing
Thema4837Alles nur Show? Ein automatischer Vergleich von Nachrichten vor der Bundestagswahl mit dem Koalitionsvertrag mittels Natural Language Processing
Thema4838Extracting Facts from Text: Joint Entity and Relation Extraction
Thema4574Deep Learning + Knowledge Graphs
Thema4772GPT-3, BERT & Co.: When to use which language model?
Thema4420Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4771Analyzing the Influence of Enterprises and Countries on AI Research
Thema4423Automatically Recommending Citations for Texts Using Neural Networks

I have supervised more than 40 Bachelor/Master theses.
All topics are open to English and German-speaking students.

Theses Abroad

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 7 months in advance. In the past, theses supervised by Dr. Färber were already funded. More information under Web_Science/DAAD-Stipendium/en.


Active Projects

AI in Peacemaking
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Research area
Semantic Search, Knowledge Representation And Reasoning, Machine Learning, Text Mining, Semantical Annotation, Information Extraction, Natural Language Processing, Digital Libraries, Knowledge Discovery, Data Mining, Artificial Intelligence, Data Science, Semantic Web, Trustworthy AI