SHORT BIOGRAPHY

I wrote my master’s thesis in physics on the topic “Simulation and Visualization of Gravitational Waves from Binary Black Holes” at the University of Konstanz. During my research as a physicist, I realized the current need for effective tools to process mathematical formulae in document analysis.

RESEARCH INTERESTS

• Mathematical Information Retrieval (MIR)
• Methods to improve accessing mathematical formulae in STEM documents for search-, recommender-, plagiarism and novelty detection systems

TEACHING & PROJECTS

The following list illustrates examples of the student projects (see pdf file here). Feel free to contact me if you have interest in any of these topics.

SELECTED PUBLICATIONS

For a list of my publications see also my profiles on Google Scholar and ResearchGate.

1. Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation
   P. Scharpf, M. Schubotz, and B. Gipp
   in Proceedings of the Web Conference (WWW) 2021, 2021.
   PDF
2. Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language
   P. Scharpf, M. Schubotz, A. Youssef, F. Hamborg, N. Meuschke, and B. Gipp
   in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020
   PDF
3. Representing Mathematical Formulae in Content MathML using Wikidata
   Scharpf, P. Schubotz, M. Gipp, B.
   Workshop paper at the ACM SIGIR Conference on Research and Development in Information Retrieval, 2018
   PDF
4. Introducing MathQA – A Math-Aware Question Answering System
   Schubotz, M. Scharpf, P. Gipp, B.
   Workshop paper at the Joint Conference on Digital Libraries (JCDL), 2018
   PDF
5. Towards Formula Concept Discovery and Recognition
   Scharpf, P. Schubotz, M. Cohl, H. Gipp, B.
   Workshop paper at the ACM Conference on Research and Development in Information Retrieval (SIGIR), 2019
6. AnnoMathTeX – a Formula Identifier Annotation Recommender System for STEM Documents
   Scharpf, P. Mackerracher, I. Schubotz, M. Beel, J. Breitinger, C. Gipp, B.
   Demo paper at the ACM Conference on Recommender Systems (RecSys), 2019

SHORT CV

2017 – present

Ph.D. Student
Gipp Lab, University of Konstanz, Wuppertal, and Göttingen

2022 – present

Data and AI Consultant
AI4Future Dataconsulting, Konstanz Germany

2018 – 2021

Data and AI Consultant
BMT Business Meets Technology AG, Bottighofen Switzerland

2019 – 2020

Machine Learning and Information Science Researcher
Chair for Data & Knowledge Engineering, University of Wuppertal

2018 – 2019

Machine Learning and Information Science Researcher
Dept. of Computer and Information Science, University of Konstanz

2017

Physics, M. Sc.
Dept. of Physics, University of Konstanz

2014

Physics, B. Sc.
Dept. of Physics, University of Zürich