System Description STEX3 – A LATEX-Based Ecosystem for Semantic/Active Mathematical Documents

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Intelligent Computer Mathematics (CICM 2022)

Abstract

We report on – a complete redesign and reimplementation (using ) from the ground up of the ecosystem for semantic markup of mathematical documents. Specifically, we present: i) The package that allows declaring semantic macros and provides a module system for organizing and importing semantic macros using logical identifiers. is a (now) standard package with minimal dependencies and is compatible with arbitrary document class and package. ii) The system, an implementation of the core TeX-engine in Rust. It allows for converting arbitrary -documents to XHTML – for -documents enriched with semantic annotations based on the OMDoc ontology. iii) An Mmt integration: The -generated XHTML can be imported and served by the Mmt system for further semantic knowledge management services.

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Notes

  1. 1.

    https://github.com/slatex/RusTeX.

  2. 2.

    Available at https://github.com/slatex/sTeX-IDE.

References

  1. Horozal, F., Iacob, A., Jucovschi, C., Kohlhase, M., Rabe, F.: Combining source, content, presentation, narration, and relational representation. In: Davenport, J.H., Farmer, W.M., Urban, J., Rabe, F. (eds.) CICM 2011. LNCS (LNAI), vol. 6824, pp. 212–227. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22673-1_15

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  2. Kohlhase, M., Müller, D.: The sTeX3 package collection. Tech. rep. https://github.com/slatex/sTeX/blob/main/doc/stex-doc.pdf. Accessed 24 Apr 2022

  3. Kohlhase, M.: OMDoc–an open markup format for mathematical documents [Version 1.2] (2006). https://omdoc.org/pubs/omdoc1.2.pdf

  4. Kohlhase, M.: Using LATEX as a semantic markup format. Math. Comput. Sci. 2(2), 279–304 (2008). https://doi.org/10.1007/s11786-008-0055-5

    Article  MATH  Google Scholar 

  5. Miller, B.: LaTeXML: a LATEX to XML converter. https://dlmf.nist.gov/LaTeXML. Accessed 12 Mar 2021

  6. MMT - language and system for the uniform representation of knowledge. https://uniformal.github.io/. Accessed 15 Jan 2019

  7. Rabe, F., Kohlhase, M.: A scalable module system. Inf. Comput. 230, 1–54 (2013). https://kwarc.info/frabe/Research/mmt.pdf

  8. sLaTeX: an ecosystem for semantically enhanced LATEX. https://github.com/sLaTeX. Accessed 11 Mar 2021

  9. SMGloM: a semantic, multilingual terminology for mathematics. https://smglom.mathhub.info. Accessed 21 Apr 2014

  10. sTeX: a semantic extension of TeX/LaTeX. https://github.com/sLaTeX/sTeX. Accessed 11 May 2020

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Correspondence to Dennis Müller .

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Kohlhase, M., Müller, D. (2022). System Description STEX3 – A LATEX-Based Ecosystem for Semantic/Active Mathematical Documents. In: Buzzard, K., Kutsia, T. (eds) Intelligent Computer Mathematics. CICM 2022. Lecture Notes in Computer Science(), vol 13467. Springer, Cham. https://doi.org/10.1007/978-3-031-16681-5_13

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  • DOI: https://doi.org/10.1007/978-3-031-16681-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16680-8

  • Online ISBN: 978-3-031-16681-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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