Michael Färber/en

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


Michael's research interests:

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

His current main focus is on scholarly data mining. 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]

Current calls for Bachelor/Master thesis:

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
Thema4482How Do Successful Startups Look Like? Predicting the Success of Startups and Tech Companies
Thema4520Learning Machine Learning-based Embeddings for Entities, States, and Events
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.


Active Projects

AI in Peacemaking

External Link:



External Link:

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External Link:

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

  • 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.