Michael Färber/en

Dr. Michael Färber
Substitute Professor
Phone: +49 721 608 465 92
Email: michael faerber∂kit edu
Room: 5A-15 (Building: 05.20)

Research Group: Web Science
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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.

Research

Michael's research interests:

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

Current research foci:

scholarly data mining and
AI4Peace.

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

Recently developed demonstration systems:

C-Rex: http://c-rex.org
- ... recommends citations for given texts.
PaperHunter: http://paperhunter.net
- ... provides, among other things, the sentences in which searched papers are cited.
ScholarSight: http://scholarsight.org
- ... allows the exploration of trends from scientific concepts.
Linked Crunchbase: http://linked-crunchbase.org
- ... allows to query information about startups and innovative companies in the Semantic Web format RDF.

Recently created data sets:

DSKG: http://dskg.org
- ...a knowledge graph representing datasets.
unarXive: http://unarxive.org
- ... contains the full texts of all papers on arXive.org with further annotations.
Microsoft Academic Knowledge Graph: http://ma-graph.org
- ... a knowledge graph containing the metadata of almost all publications in all scientific disciplines.
FAIRnets: https://doi.org/10.5281/zenodo.3885249
- ...a knowledge graph with metadata about neural networks.

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
Thema4420	Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4421	Implementing an Approach for Linking Text to the Knowledge Graph Wikidata
Thema4423	Automatically Recommending Citations for Texts Using Neural Networks
Thema4554	Google, Microsoft, & Co. – How Big is the Influence of Enterprises on Computer Science Research?
Thema4574	Deep Learning + Knowledge Graphs
Thema4742	Übersicht über aktuelle Forschung zu Verzerrungen in der Wissenschaft

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

Talks

Active Projects