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20182026
most citedSemantic Preserving Bijective Mappings of Mathematical Formulae between Document Preparation Systems and Computer Algebra Systems

13 citations · 45 across the 13 of their papers we have counts for

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cs.DL20217 cited

Automated Symbolic and Numerical Testing of DLMF Formulae using Computer Algebra Systems

Howard S. Cohl, André Greiner-Petter, Moritz Schubotz

We have developed an automated procedure for symbolic and numerical testing of formulae extracted from the NIST Digital Library of Mathematical Functions (DLMF). For the NIST Digit…

cs.DL20214 cited

MathTools: An Open API for Convenient MathML Handling

André Greiner-Petter, Moritz Schubotz, Howard S. Cohl +1

Mathematical formulae carry complex and essential semantic information in a variety of formats. Accessing this information with different systems requires a standardized machine-re…

cs.DL20201 cited

ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?

Philipp Scharpf, Moritz Schubotz, Andre Greiner-Petter +3

The zbMATH database contains more than 4 million bibliographic entries. We aim to provide easy access to these entries. Therefore, we maintain different index structures, including…

cs.DL2020

Mathematical Formulae in Wikimedia Projects 2020

Moritz Schubotz, André Greiner-Petter, Norman Meuschke +2

This poster summarizes our contributions to Wikimedia's processing pipeline for mathematical formulae. We describe how we have supported the transition from rendering formulae as c…

cs.DL20199 cited

Semantic Preserving Bijective Mappings for Expressions involving Special Functions in Computer Algebra Systems and Document Preparation Systems

Andre Greiner-Petter, Moritz Schubotz, Howard S. Cohl +1

Purpose: Modern mathematicians and scientists of math-related disciplines often use Document Preparation Systems (DPS) to write and Computer Algebra Systems (CAS) to calculate math…

cs.DL2019

Why Machines Cannot Learn Mathematics, Yet

André Greiner-Petter, Terry Ruas, Moritz Schubotz +3

Nowadays, Machine Learning (ML) is seen as the universal solution to improve the effectiveness of information retrieval (IR) methods. However, while mathematics is a precise and ac…