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Michael Färber: Unterschied zwischen den Versionen

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* ''unarXive'': http://unarxive.org
 
* ''unarXive'': http://unarxive.org
 
* ''Microsoft Academic Knowledge Graph'': http://ma-graph.org
 
* ''Microsoft Academic Knowledge Graph'': http://ma-graph.org
|Info EN=Michael Färber is a postdoctoral researcher in Prof. Dr. York Sure-Vetter's Web Science group at the Institute AIFB of the Karlsruhe Institute of Technology (KIT), Germany, since April 2019. From 2017 until March 2019, Michael worked in Prof. Dr. Georg Lausen's group at the University of Freiburg, Germany, and at Kyoto University, Japan, as JSPS fellow. From 2012 until 2017, Michael was a PhD student and research associate in Prof. Dr. Rudi Studer's group "Knowledge Management and Web Science" at the Institute AIFB of the Karlsruhe Institute of Technology (KIT), Germany. The title of his PhD thesis is "Semantic Search of Novel Information." Michael's research interests are in natural language processing, machine learning, and the semantic web. He has served as reviewer and PC member for various conferences and journals, including AAAI, ECMLPKDD, IJCAI, ISWC, JWS, and SWJ.
 
  
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Siehe auch https://sites.google.com/view/michaelfaerber
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|Info EN=Michael Färber is a postdoctoral researcher with an assistant professorship role in Prof. Dr. York Sure-Vetter's Web Science group at the Institute AIFB of the Karlsruhe Institute of Technology (KIT), Germany, since April 2019.
  
New: [[Media:HiWi-Ausschreibung_BMW_2019.pdf|Call for a student job in the area of text mining]].
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Michael's research interests are in '''natural language processing''', '''machine learning''', and the '''Semantic Web'''. His current main focus is on '''scholarly data mining'''. Michael has served as reviewer and PC member for various conferences and journals. More information can be found at his [homepage|https://sites.google.com/view/michaelfaerber] and on [https://scholar.google.de/citations?hl=en&user=Jb7JUOsAAAAJ Google Scholar].
  
Calls for Bachelor/Master thesis:
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Open '''student assistant job (Hiwi)''' in the area of machine learning, natural language processing, and/or Semantic Web technologies: [https://www.aifb.kit.edu/images/c/cb/HiWi-Ausschreibung_ML_NLP_2019.pdf]
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Current calls for '''Bachelor/Master thesis''':
 
{{#ask: [[Kategorie:Abschlussarbeit]] [[Betreuer::Michael Färber]] [[Abschlussarbeitsstatus::Offen]]
 
{{#ask: [[Kategorie:Abschlussarbeit]] [[Betreuer::Michael Färber]] [[Abschlussarbeitsstatus::Offen]]
 
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All topics are open to English and German speaking students.
 
All topics are open to English and German speaking students.
  
Recently developed demonstrations:
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Recently developed '''demonstration systems''':
* PaperHunter: http://paperhunter.net
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* ''PaperHunter'': http://paperhunter.net
* ScholarSight: http://scholarsight.org
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* ''ScholarSight'': http://scholarsight.org
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Recently created data sets:
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* ''unarXive'': http://unarxive.org
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* ''Microsoft Academic Knowledge Graph'': http://ma-graph.org
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See also https://sites.google.com/view/michaelfaerber
 
|KIT Kompetenzfeld1=Cognition and Information Engineering
 
|KIT Kompetenzfeld1=Cognition and Information Engineering
 
|Publikationen anzeigen=Ja
 
|Publikationen anzeigen=Ja

Version vom 17. November 2019, 12:37 Uhr

M Faerber 2019.jpg

Offene Hiwi-Stelle im Bereich Machine Learning, Natural Language Processing, und/oder Semantic Web Technologies: [1].

Offene, ausgeschriebene Abschlussarbeitsthemen:

 Titel
Thema4420Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4423Automatically Recommending Citations for Texts Using Neural Networks
Thema4574Deep Learning + Knowledge Graphs
Thema4771Analyzing the Influence of Enterprises and Countries on AI Research
Thema4772GPT-3, BERT & Co.: When to use which language model?
Thema4800Data Science at the Frontline: Wie sich Schlagzeilen vor und nach der Bundestagswahl 2021 bei Google ändern

Anfragen zu weiteren Abschlussarbeitsthemen zu Themen wie

  • Natural Language Processing (NLP) / Text Mining
  • Angewandtes Machine Learning
  • Semantic Web / Linked Data
  • Big Data
  • Data Science

gerne willkommen.

Kürzlich entwickelte und veröffentlichte Online-Demonstrationssysteme:

Kürzlich entwickelte und veröffentlichte Datensätze:

Siehe auch https://sites.google.com/view/michaelfaerber


Publikationen
Publikationen


Vorträge
Vorträge


Abschlussarbeiten
Abschlussarbeiten


Tools

FAIRnets, KB-Statistics, Linked Crunchbase, Novel Triple Extraction


Datasets

AWARE Ontology, CrunchBase Knowledge Graph, KORE 50^DYWC, Microsoft Academic Knowledge Graph, NewsBias2020, UnarXive, XLiD-Lexica


Aktive Projekte
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AI in Peacemaking
Externer Link: https://mediatingmachines.com/

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

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

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KIGLIS

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

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TransPer





Forschungsgebiete
Semantische Suche, Wissensrepräsentation, Maschinelles Lernen, Text Mining, Semantische Annotation, Informationsextraktion, Natürliche Sprachverarbeitung, Digitale Bibliotheken, Knowledge Discovery, Data Mining, Künstliche Intelligenz, Data Science, Semantic Web, Trustworthy AI


KIT Funktionen und Kompetenzfelder

Cognition and Information Engineering