Norman Meuschke

Doctoral Researcher

Office: Z918

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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 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.

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.

Publications

2018

  • N. Meuschke, V. Stange, M. Schubotz, and B. Gipp, “HyPlag: A Hybrid Approach to Academic Plagiarism Detection,” in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (PDF) 
  • N. Meuschke, C. Gondeck, D. Seebacher, C. Breitinger, D. Keim, and B. Gipp, “An Adaptive Image-based Plagiarism Detection Approach,” in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Fort Worth, USA, 2018. (PDF) 
  • F. Hamborg, N. Meuschke, and B. Gipp, “Bias-aware News Analysis using Matrix-based News Aggregation,” International Journal on Digital Libraries (IJDL), 2018.
  • M. Schubotz, A. Greiner-Petter, P. Scharpf, N. Meuschke, H. Cohl, and B. Gipp, “Improving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context,” in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Fort Worth, USA, 2018. (PDF)

2017

  • N. Meuschke, M. Schubotz, F. Hamborg, T. Skopal, and B. Gipp, “Analyzing Mathematical Content to Detect Academic Plagiarism,” in Proceedings of the International Conference on Information and Knowledge Management (CIKM), Singapore, 2017. (PDF)
  • N. Meuschke, N. Siebeck, M. Schubotz, B. Gipp, “Analyzing Semantic Concept Patterns to Detect Academic Plagiarism,” in Proceedings of the 6th International Workshop on Mining Scientific Publications (WOSP) held in conjunction with the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017. (PDF)  
  • M. Schubotz, L. Kraemer, N. Meuschke, F. Hamborg, and B. Gipp, “Evaluating and Improving the Extraction of Mathematical Identifier Definitions,” in Proceedings of the 8th International Conference of the CLEF Association (CLEF), 2017. (PDF)
  • F. Hamborg, N. Meuschke, and B. Gipp, “Matrix-based News Aggregation: Exploring Different News Perspectives,” in Proceedings ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017. Best Student Paper Award(PDF)
  • M. Schubotz, N. Meuschke, T. Hepp. H. S. Cohl, G. Gipp, “VMEXT: A Visualization Tool for Mathematical Expression Trees,“ in Proceedings Conference on Intelligent Computer Mathematics (CICM), 2017. (PDF)
  • B. Gipp, N. Meuschke, J. Beel, and C. Breitinger, “Using the Blockchain of Cryptocurrencies for Timestamping Digital Cultural Heritage,” Bulletin of IEEE Technical Committee on Digital Libraries (TCDL), vol. 13, iss. 1, 2017. (PDF)
  • F. Hamborg, N. Meuschke, C. Breitinger, and B. Gipp, “news-please: A Generic News Crawler and Extractor,” in Proceedings International Symposium on Information Science, 2017. (PDF)
  • F. Hamborg, N. Meuschke, A. Aizawa, and B. Gipp, “Identification and Analysis of Media Bias in News Articles,” in Proceedings International Symposium on Information Science, 2017. (PDF)
  • B. Gipp, C. Breitinger, N. Meuschke. J. Beel “CryptSubmit: Introducing Securely Timestamped Manuscript Submission and Peer Review Feedback using,” in Proceedings ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017. (PDF)
  • E. Dahm, M. Schubotz, N. Meuschke, and B. Gipp, “A Vision for Performing Social and Economic Data Analysis using Wikipedia’s Edit History,” in Proceedings International World Wide Web Conference, 2017. (PDF)
  • M. Schwarzer, C. Breitinger, M. Schubotz, N. Meuschke, and B. Gipp, “Citolytics – A Wikipedia Recommender System,” in Proceedings ACM Conference on Recommender Systems (RecSys), 2017. (PDF)

2016

  • M. Schubotz, A. Grigorev, M. Leich, H. S. Cohl, N. Meuschke, B. Gipp, A. S. Youssef, and V. Markl, “Semantification of Identifiers in Mathematics for Better Math Information Retrieval,” in Proceedings International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016. (PDF)
  • M. Schubotz, N. Meuschke, M. Leich, and B. Gipp, “Exploring the One-brain Barrier: a Manual Contribution to the NTCIR-12 Math Task,” in Proceedings NTCIR Conference on Evaluation of Information Access Technologies (NTCIR), 2016. (PDF)
  • M. Schwarzer, M. Schubotz, N. Meuschke, C. Breitinger, V. Markl, and B. Gipp, “Evaluating Link-based Recommendations for Wikipedia,” in Proceedings ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2016, pp. 191-200. (PDF)
  • P. Meschenmoser, N. Meuschke, M. Hotz, and B. Gipp, “Scraping Scientific Web Repositories: Challenges and Solutions for Automated Content Extraction,” D-Lib Magazine, vol. 22, iss. 9/10, 2016. (PDF)

2015

  • B. Gipp, N. Meuschke, and A. Gernandt, “Decentralized Trusted Timestamping using the Crypto Currency Bitcoin”, in Proceedings iConference, 2015. (PDF)
  • B. Gipp, N. Meuschke, and M. Lipinski, “CITREC: An Evaluation Framework for Citation-Based Similarity Measures based on TREC Genomics and PubMed Central”, in Proceedings iConference, 2015.  (PDF)

2014

  • N. Meuschke and B. Gipp, “Reducing Computational Effort for Plagiarism Detection by using Citation Characteristics to Limit Retrieval Space”, in Proceedings of the IEEE-CS/ACM International Conference on Digital Libraries (DL), 2014, pp. 197-200. (PDF)
  • B. Gipp, N. Meuschke, and C. Breitinger, “Citation-based Plagiarism Detection: Practicability on a Large-scale Scientific Corpus”, Journal of the American Society for Information Science and Technology, vol. 65, iss. 2, pp. 1527-1540, 2014. (PDF)
  • B. Gipp, N. Meuschke, C. Breitinger, J. Pitman, and A. Nuernberger, “Web-based Demonstration of Semantic Similarity Detection using Citation Pattern Visualization for a Cross Language Plagiarism Case”, in Proceedings International Conference on Enterprise Information Systems (ICEIS), Special Session on Information Systems Security, Lisbon, Portugal, 2014, pp. 677-683. (PDF)

2013

  • N. Meuschke and B. Gipp, “State of the Art in Detecting Academic Plagiarism”, International Journal for Educational Integrity, vol. 9, iss. 1, pp. 50-71, 2013. (PDF)
  • B. Gipp, N. Meuschke, C. Breitinger, M. Lipinski, and A. Nuernberger, “Demonstration of Citation Pattern Analysis for Plagiarism Detection”, in Proceedings International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2013. (PDF)

2012

  • N. Meuschke, B. Gipp, and C. Breitinger, “CitePlag: A Citation-based Plagiarism Detection System Prototype”, in Proceedings 5th International Plagiarism Conference, 2012. (PDF)

2011

  • B. Gipp and N. Meuschke, “Citation Pattern Matching Algorithms for Citation-based Plagiarism Detection: Greedy Citation Tiling, Citation Chunking and Longest Common Citation Sequence”, in Proceedings ACM Symposium on Document Engineering (DocEng), 2011. (PDF)
  • B. Gipp, N. Meuschke, and J. Beel, “Comparative Evaluation of Text- and Citation-based Plagiarism Detection Approaches using GuttenPlag”, in Proceedings ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2011. (PDF) 

Teaching

Winter Term 2017/18

  • Lecture: Computational Methods for Document Analysis
  • Lecture: Introduction to Computation for the Social Sciences

Summer Term 2017

Winter Term 2016/17

  • Lecture: Computational Methods for Document Analysis
  • Seminar: Selected Topics in Information Retrieval

Summer Term 2016

  • Seminar: Piggybacking the Blockchains of Cryptocurrencies for Application Development
  • Seminar: Theory and Practice of Natural Language Processing

Winter Term 2015/16

  • Lecture: Web Information Retrieval
  • Seminar: Identifying Semantic Similarity for Plagiarism Detection
  • Seminar: Current Trends in Web Information Retrieval