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.
|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
|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
|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.