Abstract
Making presentational math computable implies a transformation from one mathematical representation to another. In order to frame this task, we need to introduce presentational and computable formats, and analyze available transformation tools between these formats. There is a large variety of different formats available to encode mathematical expressions, from visual formats, such as LATEX [220] or MathML [60], to semantic enhanced encodings, such as content MathML [270], semantic LATEX [260], STEX [200], or OpenMath [19], and entire programming languages, such as CAS syntaxes [36, 128, 173, 175, 176, 177, 178, 393], theorem provers [37, 266, 287, 340, 354, 384], or mathematical packages in C++ [168], Python [252] or Java [79]. This chapter introduces what we understand as presentational and computable formats, provides an overview of math formats, and discusses existing transformation tools between these formats.
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Greiner-Petter, A. (2023). Mathematical Information Retrieval. In: Making Presentation Math Computable. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-40473-4_2
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DOI: https://doi.org/10.1007/978-3-658-40473-4_2
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Publisher Name: Springer Vieweg, Wiesbaden
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Online ISBN: 978-3-658-40473-4
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