Office: FC 1.19
My main research interests are methods for semantic similarity analysis and their application for information retrieval. Beyond my core research, I am interested in applied data science and knowledge management challenges and the application of blockchain technology to tackle these challenges.
My research spans the fields of:
- Information Retrieval for text, images, and mathematical content
- Plagiarism Detection
- Citation and Link Analysis
- Blockchain Technology
- Information Visualization
For details on specific projects, please see the links on the right or my publications below.
|09/2018 - present||Doctoral Researcher
Data & Knowledge Engineering Group, University of Wuppertal
|03/2015 - 08/2018||Doctoral Researcher
Information Science Group, University of Konstanz
|03/2014 - 02/2015||Visiting Researcher
National Institute of Informatics Tokyo, Japan
|08/2011 - 02/2014||Visiting Researcher
University of California, Berkeley, US
TEACHING & PROJECTS
I very much enjoy collaborating with other researchers and students. If your are interested in my research, please do not hesitate to contact me. If you are a student looking for a bachelor's or master's project or thesis, please see the various topics I offer related to all areas of my research at our students corner.
A complete list of my publications is available here.
|Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations
N. Meuschke, V. Stange, M. Schubotz, M. Kramer, B. Gipp
ACM/IEEE-CS Joint Conf. on Digital Libraries (JCDL), 2019.
(PDF DOI Slides)
|HyPlag: A Hybrid Approach to Academic Plagiarism Detection
N. Meuschke, V. Stange, M. Schubotz, B. Gipp
Proc. Int. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR), 2018
(PDF DOI BibTeX)
|An Adaptive Image-based Plagiarism Detection Approach
N. Meuschke, C. Gondeck, D. Seebacher, C. Breitinger, D. Keim, B. Gipp
Proc. ACM / IEEE-CS Joint Conf. on Digital Libraries (JCDL), 2018
(PDF DOI BibTeX Slides)
|Analyzing Mathematical Content to Detect Academic Plagiarism
N. Meuschke, M. Schubotz, F. Hamborg, T. Skopal, B. Gipp
Proc. ACM Int. Conf. on Information and Knowledge Management (CIKM), 2017.
|State of the Art in Detecting Academic Plagiarism
N. Meuschke, B. Gipp
Int. Journal for Educational Integrity, vol. 9, iss. 1, pp. 50-71, 2013.