Draft:Michael Färber
Michael Färber | |
|---|---|
| Born | September 1987 (age 37) |
| Occupation(s) | Computer scientist, Professor |
| Employer(s) | TU Dresden ScaDS.AI[1] |
Michael Färber (born September 1987) is a German computer scientist and professor at the Technical University of Dresden (TU Dresden), Germany. He leads the research group Scalable Software Architectures for Data Analytics[2] at the AI Center ScaDS.AI Dresden/Leipzig.
Prior to his appointment at TU Dresden, Färber served as Deputy Full Professor (W3-Vertretungsprofessor) for the Web Science Group at the Karlsruhe Institute of Technology (KIT), Germany.[3] He is recognized for his contributions to the field of knowledge representation, particularly in developing large-scale knowledge graphs within the scholarly domain.[4] Färber’s current research focuses on artificial intelligence (AI), particularly at the intersection of knowledge representation, natural language processing (NLP), and machine learning (ML).[5]
Education
[edit]Färber earned a Diplom-Informatik degree in Computer Science (2011) and a Bachelor of Arts in Philosophy (2012), both from the University of Ulm in Germany.[6] In 2017, he completed his Doctor of Engineering (Ph.D.) in Computer Science at the Karlsruhe Institute of Technology (KIT), Germany, with a thesis titled Semantic Search for Novel Information.[7]
Career and research
[edit]Färber is known for his contributions to knowledge representation in scholarly domain and has developed several large-scale knowledge graphs in this and other domain, including:
- SemOpenAlex,[8][9] a scholarly knowledge graph with over 26 billion RDF and RDF-star triples, based on OpenAlex.
- Linked Papers with Code (LPWC),[10][11] an RDF knowledge graph that models the research field of machine learning, created using data from paperswithcode.com.[12]
- Microsoft Academic Knowledge Graph (MAKG),[13][14] a knowledge graph with over eight billion RDF triples about scientific publications, based on the Microsoft Academic Graph.[15]
- Data Set Knowledge Graph (DSKG),[16] an RDF knowledge graph about datasets linked to publications.[17]
- FAIRnets Dataset, a knowledge graph containing metadata about neural networks.[18]
- Linked Crunchbase Knowledge Graph,[19][20] an RDF dataset of Crunchbase.
- unarXive,[21][22] a dataset based on all publications from arXiv.org.
Färber’s current research focuses on artificial intelligence (AI), particularly at the intersection of knowledge representation, natural language processing (NLP), and machine learning (ML). His work also includes areas such as explainable AI and machine learning on graph data.[23]
References
[edit]- ^ Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig
- ^ Scalable Software Architectures for Data Analytics – ScaDS.AI
- ^ Web Science Group – KIT AIFB Institute
- ^ Michael Faerber – Knowledge Graphs and Datasets
- ^ Michael Faerber – Research Areas
- ^ Michael Faerber – Profile
- ^ Faerber, M. – Semantic Search for Novel Information
- ^ SemOpenAlex Project
- ^ SemOpenAlex – Springer Link
- ^ Linked Papers with Code
- ^ CEUR Workshop Proceedings
- ^ Papers with Code
- ^ Microsoft Academic Knowledge Graph
- ^ The Microsoft Academic Knowledge Graph – MIT Press
- ^ Microsoft Academic Graph – Microsoft Research
- ^ Data Set Knowledge Graph
- ^ Faerber, M. (2021). DSKG: A Large-Scale Dataset for Knowledge Graphs. Zenodo. DOI: 10.5281/zenodo.4478921
- ^ FAIRnets Knowledge Graph
- ^ Crunchbase in RDF: A Large Data Set About Jobs, Websites, Organizations, News, People, Products, and Acquisitions
- ^ Crunchbase Knowledge Graph – arXiv
- ^ unarXive Project
- ^ unarXive – Zenodo
- ^ Michael Faerber – Research Areas