Dr. Norman Meuschke

Senior Researcher for Information Retrieval

Office: FC 1.20

RESEARCH INTERESTS

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 (esp. for text, images, and mathematical content)
Natural Language Processing
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.

SHORT CV

09/2018 - present	Researcher Data & Knowledge Engineering Group, University of Wuppertal
03/2015 - 08/2018	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

DOCTORAL THESIS

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism, University of Konstanz, 2021, Grade: summa cum laude (excellent).

PDF | DOI | BibTeX

Resources for my thesis
(Data and source code, recording and slides of my doctoral defense)

SELECTED PUBLICATIONS

A complete list of my publications is available here.

Academic Plagiarism Detection: A Systematic Literature Review
T. Foltynek, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 52, iss. 6, p. 112:1-112:42, 2019.
(PDF DOI BibTeX)

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 BibTeX 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.
(PDF DOI BibTeX)

TEACHING & PROJECTS

I very much enjoy collaborating with other researchers and students. If you 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.