Michael Färber/en

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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


Michael Färber's publications.

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 on

Online Demo Systems

Recently developed demonstration systems:

  • RefBee:
    • ...shows for an author which publications are in which bibliographic databases.
  • C-Rex:
    • ... recommends citations for given texts.
  • PaperHunter:
    • ... provides, among other things, the sentences in which searched papers are cited.
  • ScholarSight:
    • ... allows the exploration of trends from scientific concepts.
  • Linked Crunchbase:
    • ... allows to query information about startups and innovative companies in the Semantic Web format RDF.

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 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

Thema4909Scalable Graph Neural Networks on Knowledge Graphs
Thema4910Performance Analysis of Graph Neural Diffusion via Fourier Decomposition
Thema4864Quantum Computing for Natural Language Processing
Thema4648Creating a Large Knowledge Graph about Scientific Publications for Innovation Forecast
Thema4837Alles nur Show? Ein automatischer Vergleich von Nachrichten vor der Bundestagswahl mit dem Koalitionsvertrag mittels Natural Language Processing
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
Thema4423Automatically Recommending Citations for Texts Using Neural Networks

I have supervised more than 50 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
External Link:




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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

  • Supervised Bachelor/Master Theses:
Student Name Title Kind of Thesis Submission Date
Samuel Printz Text Annotation with Wikidata Bachelor ongoing
Johannes Reiss A Probabilistic Model for Predicting Wikipedia Pages Master ongoing
Laurenz Vorderwülbecke Rule-based Noun Phrase Extraction Using Part-of-Speech Tags Bachelor 2016
Felix Drabe Automatically Determining Text Quality Master ongoing
Zihan Lin Feature Selection for Predicting the Creation of New Wikipedia Articles Bachelor 2016
Chris Konop Finding Events in Unstructured Text Bachelor 2016
Frederic Bartscherer Linked Data Quality: A Comparison of DBpedia, YAGO, Freebase, Wikidata and OpenCyc Master 2016
Steffen Strobl Trend Detection: Predicting the Emergence of Wikipedia Articles Bachelor 2015
Peter Natterer Detecting Emerging Entities based on News Texts Master 2016
Moritz Winckler Knowledge Base Enrichment from OpenIE Input Bachelor 2015
Bo Liu Automatically Adding References to Text Bachelor 2015
Johannes Spohr Evaluation of Performance Gain of Semantic Search for Experienced Users and Novices Master 2015
Chunyan Zhong Machine Learning Methods for Dealing with Errors and Incomplete Records Master 2015
Alexander Kraetke Analysis of Wikidata and Usage for Semantic Search Master 2015
Swetlana Stickhof Named Entity Recognition for Improving Entity Linking with Wikipedia and Detecting New Named Entities in Text Documents Bachelor 2014
Wojtek Breiter Access Control in Semantic MediaWiki Diploma 2014
Frederic Engelen Implementation of a User Interface for Visualizing New Facts Found in Text Documents Bachelor 2014
David Kleinmann Identification of Statements in Unknown Texts via SRL Graphs and Machine Learning Methods Bachelor 2014
Waldemar Koller Relation Extraction With the Help of Machine Learning Methods Master 2014
Wolf Quaschningk Technology Portfolios and Technology Roadmaps in Semantic Wikis Diploma 2014
Georg Ertl Neural Networks for Predicting the Energy Production of Hydroelectric Power Stations Master 2014
Philipp Kuepper Potential of Knowledge Management in Procurement Master 2013

  • Reviewer/Subreviewer for
    • AAAI Conference on Artificial Intelligence (AAAI)
    • Asian Conference on Machine Learning (ACML)
    • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)
    • Extended Semantic Web Conference (ESWC)
    • IEEE/WIC/ACM International Conference on Web Intelligence (WI)
    • International Conference on Knowledge Capture (K-CAP)
    • International Conference on Knowledge Engineering and Knowledge Management (EKAW)
    • International Conference on Semantic Systems (SEMANTiCS)
    • International Conference on Web Information Systems and Technologies (WebIST)
    • International Joint Conference on Artificial Intelligence (IJCAI)
    • International Semantic Web Conference (ISWC)
    • Journal of Web Semantics (JWS)
    • Modeling, Learning and Mining for Cross/Multilinguality Workshop (MultiLingMine)
    • Semantic Web Journal (SWJ)

  • Online Demos
    • Wikipedia Article Recommender (online January 2017)
      Michael Färber, Achim Rettinger, Boulos El Asmar: On Emerging Entity Detection, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW’16), Bolognia, Italy, November, 2016.
    • XKnowSearch!
      Lei Zhang, Michael Färber, Achim Rettinger: XKnowSearch! Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval, The 25th ACM International on Conference on Information and Knowledge Management (CIKM’ 2016), Indianapolis, IN, USA, October, 2016.
    • Kuphi
      Michael Färber, Lei Zhang, Achim Rettinger: Kuphi - An Investigation Tool for Searching for and via Semantic Relations. In The Semantic Web: ESWC 2014 Satellite Events, Volume 8798 of the series Lecture Notes in Computer Science, pp. 349-354, 2014.