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* [http://www.aifb.kit.edu/web/Michael_F%C3%A4rber2 Abstract of Michael Färber's AIFB Colloquium talk about his PhD topic]
 
<br />
 
* '''Supervised Bachelor/Master Theses:'''
 
 
<table id="tg-3U7C5">
 
  <tr>
 
    <th>Student Name</th>
 
    <th>Title</th>
 
    <th>Kind of Thesis</th>
 
    <th>Submission Date</th>
 
  </tr>
 
  <tr>
 
    <td>Samuel Printz</td>
 
    <td>Text Annotation with Wikidata</td>
 
    <td>Bachelor</td>
 
    <td>ongoing</td>
 
  </tr>
 
  <tr>
 
    <td>Johannes Reiss</td>
 
    <td>A Probabilistic Model for Predicting Wikipedia Pages</td>
 
    <td>Master</td>
 
    <td>ongoing</td>
 
  </tr>
 
  <tr>
 
    <td>Laurenz Vorderwülbecke</td>
 
    <td>Rule-based Noun Phrase Extraction Using Part-of-Speech Tags</td>
 
    <td>Bachelor</td>
 
    <td>2016</td>
 
  </tr>
 
  <tr>
 
    <td>Felix Drabe</td>
 
    <td>Automatically Determining Text Quality</td>
 
    <td>Master</td>
 
    <td>ongoing</td>
 
  </tr>
 
  <tr>
 
    <td>Zihan Lin</td>
 
    <td>Feature Selection for Predicting the Creation of New Wikipedia Articles</td>
 
    <td>Bachelor</td>
 
    <td>2016</td>
 
  </tr>
 
  <tr>
 
    <td>Chris Konop</td>
 
    <td>Finding Events in Unstructured Text</td>
 
    <td>Bachelor</td>
 
    <td>2016</td>
 
  </tr>
 
  <tr>
 
    <td>Frederic Bartscherer</td>
 
    <td>Linked Data Quality: A Comparison of DBpedia, YAGO, Freebase, Wikidata and OpenCyc</td>
 
    <td>Master</td>
 
    <td>2016</td>
 
  </tr>
 
  <tr>
 
    <td>Steffen Strobl</td>
 
    <td>Trend Detection: Predicting the Emergence of Wikipedia Articles</td>
 
    <td>Bachelor</td>
 
    <td>2015</td>
 
  </tr>
 
  <tr>
 
    <td>Peter Natterer</td>
 
    <td>Detecting Emerging Entities based on News Texts</td>
 
    <td>Master</td>
 
    <td>2016</td>
 
  </tr>
 
  <tr>
 
    <td>Moritz Winckler</td>
 
    <td>Knowledge Base Enrichment from OpenIE Input</td>
 
    <td>Bachelor</td>
 
    <td>2015</td>
 
  </tr>
 
  <tr>
 
    <td>Bo Liu</td>
 
    <td>Automatically Adding References to Text</td>
 
    <td>Bachelor</td>
 
    <td>2015</td>
 
  </tr>
 
  <tr>
 
    <td>Johannes Spohr</td>
 
    <td>Evaluation of Performance Gain of Semantic Search for Experienced Users and Novices</td>
 
    <td>Master</td>
 
    <td>2015</td>
 
  </tr>
 
  <tr>
 
    <td>Chunyan Zhong</td>
 
    <td>Machine Learning Methods for Dealing with Errors and Incomplete Records</td>
 
    <td>Master</td>
 
    <td>2015</td>
 
  </tr>
 
  <tr>
 
    <td>Alexander Kraetke</td>
 
    <td>Analysis of Wikidata and Usage for Semantic Search</td>
 
    <td>Master</td>
 
    <td>2015</td>
 
  </tr>
 
  <tr>
 
    <td>Swetlana Stickhof</td>
 
    <td>Named Entity Recognition for Improving Entity Linking with Wikipedia and Detecting New Named Entities in Text Documents</td>
 
    <td>Bachelor</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>Wojtek Breiter</td>
 
    <td>Access Control in Semantic MediaWiki</td>
 
    <td>Diploma</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>Frederic Engelen</td>
 
    <td>Implementation of a User Interface for Visualizing New Facts Found in Text Documents</td>
 
    <td>Bachelor</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>David Kleinmann</td>
 
    <td>Identification of Statements in Unknown Texts via SRL Graphs and Machine Learning Methods</td>
 
    <td>Bachelor</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>Waldemar Koller</td>
 
    <td>Relation Extraction With the Help of Machine Learning Methods</td>
 
    <td>Master</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>Wolf Quaschningk</td>
 
    <td>Technology Portfolios and Technology Roadmaps in Semantic Wikis</td>
 
    <td>Diploma</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>Georg Ertl</td>
 
    <td>Neural Networks for Predicting the Energy Production of Hydroelectric Power Stations</td>
 
    <td>Master</td>
 
    <td>2014</td>
 
  </tr>
 
  <tr>
 
    <td>Philipp Kuepper</td>
 
    <td>Potential of Knowledge Management in Procurement</td>
 
    <td>Master</td>
 
    <td>2013</td>
 
  </tr>
 
</table>
 
<br />
 
* '''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)
 
<br />
 
 
* '''Online Demos'''
 
** Wikipedia Article Recommender
 
**:http://km.aifb.kit.edu/services/wikipedia-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.
 
 
** Rule-based Base Noun Phrase Extractor
 
**:http://km.aifb.kit.edu/services/np-extractor (online end of December 2016 online)
 
**:not yet published
 
 
**CrunchBase RDF Wrapper
 
**:http://km.aifb.kit.edu/services/crunchbase
 
**:Michael Färber, Carsten Menne, Andreas Harth: A Linked Data Wrapper for CrunchBase, Semantic Web Journal, 2016 (under review, available at http://www.semantic-web-journal.net/content/linked-data-wrapper-crunchbase-1; journal impact factor: 1.786)
 
 
**XKnowSearch!
 
**:http://km.aifb.kit.edu/services/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.
 
 
** DBpedia Successors
 
**:http://km.aifb.kit.edu/services/dbpedia-successors
 
**:not yet published
 
 
** Kuphi
 
**:http://km.aifb.kit.edu/services/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.
 
 
** Further source code online at http://people.aifb.kit.edu/mfa/projects/synctech/
 

Aktuelle Version vom 2. März 2020, 19:55 Uhr

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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.


>> Open PhD/Postdoc Positions! <<



Personal Website



Research

Research Interests

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


Current research foci:


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

Online Demo Systems

Recently developed demonstration systems:


Data Sets

Recently created data sets:


Code & Data

  • 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.



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. 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

 Titel
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.



Publications
Publications


Active Projects
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AI in Peacemaking
External Link: https://mediatingmachines.com/

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DataScore
External Link: https://datascore.int.kit.edu/

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

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KIGLIS

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

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TransPer


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