- Jul 12, 2022: NAACL paper: Few-Shot Document-Level Relation Extraction
- June 29, 2022: Live talk on Instagram on June 30, 2022 at 6pm about the influence of industry on AI research
- April 25, 2022: New Hiwi call for ML for Accelerator Physics
- Jan 18, 2022: Overview of current research in German on these slides
- Nov 24, 2021: Invited talk at the Webinar "Smart Innovation".
Profile: As W3 Deputy Full Professor until 2025, I am the head of the research group Web Science at the Karlsruhe Institute of Technology (KIT). Together with my team of seven PhD students and one postdoc, I work on the development and application of artificial intelligence (AI) methods. Specifically, my focus is in the triangle of knowledge representation, machine learning, and natural language processing. Since my postdoc phase, my vision is to work on solutions for the increasing scholarly information overload and on new ways of scholarly communication. To this end, I perform research on extracting and modeling scientific knowledge explicitly in the form of scholarly knowledge graphs, and develop search and recommender systems that leverage the explicitly modeled scholarly knowledge, while being able to explain the results and recommendations to the user. I have published more than 75 publications at prestigious international conferences (e.g., CIKM, ISWC, ECIR, NAACL) with international researchers. Furthermore, I already work as PI on several projects (e.g., KD4RE, IIDI, ChemKB, KIGLIS, digilog@bw) and have a large network of national and international researchers.
- 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
- his personal website,
- Google Scholar,
- Semantic Scholar,
Online Demo Systems
Recently developed demonstration systems:
- RefBee: http://refbee.org/
- ...shows for an author which publications are in which bibliographic databases.
- 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: https://makg.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.
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: 
- in Semantic MediaWiki or PHP: .
- for knowledge graph-based methods for explaining recommender systems: .
- for knowledge graph-based technology forecast and technology and innovation management (TIM).
Current calls for Bachelor/Master thesis
|Thema4977||Knowledge Graphs for Robots’ Situational Awareness|
|Thema4939||Chronik 2050: Automatische Extraktion von erwarteten Ereignissen aus Webseiten|
|Thema4864||Quantum Computing for Natural Language Processing|
|Thema4420||Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen|
|Thema4909||Scalable Graph Neural Networks on Knowledge Graphs|
|Thema4910||Performance Analysis of Graph Neural Diffusion via Fourier Decomposition|
|Thema4648||Creating a Large Knowledge Graph about Scientific Publications for Innovation Forecast|
|Thema4837||Alles nur Show? Ein automatischer Vergleich von Nachrichten vor der Bundestagswahl mit dem Koalitionsvertrag mittels Natural Language Processing|
|Thema4574||Deep Learning + Knowledge Graphs|
|Thema4772||GPT-3, BERT & Co.: When to use which language model?|
|Thema4423||Automatically 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.
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.
- 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