International Conference on Collaborative Computing: Networking, Applications and Worksharing

Collaborative Computing: Networking, Applications, and Worksharing pp 289-295 | Cite as

On Ambiguity Issues of Converting LaTeX Mathematical Formula to Content MathML

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 163)

Abstract

Facing the demand of providing retrieval result with rich semantic information for users in math searching, mathematical formulas of LaTeX are usually converted to Content MathML. For the problem of ambiguity formulas in the process of conversion, a method of semantic disambiguation for mathematics formulas which is based on the operator context was proposed. At first, ambiguity operator was found according to the ambiguity operator mapping table. Then, the ambiguity operator context is got through the array traversal. At last, the specific meaning was conjectured according to the ambiguity operator context. The experimental results show that compared with the type-system the method can make up for its disadvantages in simple formulas aspect and gets a higher average accuracy. In practical application, this method can effectively solve the problem of ambiguity formulas in the process of conversion.

Keywords

Mathematic formula conversion LaTeX Content MathML Ambiguity formula Semantic of formula 

References

  1. 1.
    W3C Math Working Group. Mathematical Markup Language (MathML) version 3.0 2nd edn. W3C Recommendation, 10 April 2014. http://www.w3.org/TR/MathML/
  2. 2.
    Guan, M.: The research of mathematical formula indexing based on MathML. Hebei University, Hebei (2013)Google Scholar
  3. 3.
    Nie, J., Chen, T., Fu, H.: Research and implementation of internet mathematic formula search engine based on Latex. J. Comput. Appl. 30(2), 312–313 (2010)Google Scholar
  4. 4.
    Zhang, T.: Research and Implementation of Web-based mathematical expressions translation. Lanzhou University, Lanzhou (2009)Google Scholar
  5. 5.
    Zhao, L.: Research on the method and technology of mathematical formulas semantic retrieving based on ontology. Nankai University, Tianjin (2011)Google Scholar
  6. 6.
    Zhang, T., Li, L., Su, W., et al.: A mathematical formula converter based on mathedit. Comput. Appl. Softw. 27(1), 14–16 (2010)Google Scholar
  7. 7.
    Su, W.: Research on web-based input and accessibility of mathematical expressions. Lanzhou University, Lanzhou (2010)Google Scholar
  8. 8.
    Stamerjohanns, H., Ginev, D., David, C., Misev, D., Zamdzhiev, V., Kohlhase, M.: Mathml-aware article conversion from LaTeX (English). In: Petr, S. (ed.) Towards a Digital Mathematics Library, Grand Bend, 8–9 July 2009, pp. 109–120. Masaryk University Press, Brno (2009)Google Scholar
  9. 9.
    Woodall, D.R.: LaTeX MathML: translating LaTeX math notation dynamically to presentation MathML (2010)Google Scholar
  10. 10.
    Doush, L.A., Alkhateeb, F., Maghayreh, E.A.: Towards meaningful mathematical expressions in e-learning. In: Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications, Amman (2010)Google Scholar
  11. 11.
    Cai, C., Su, W., Li, L.: On key issues of converting presentation mathematics formulas to content. Comput. Appl. Softw. 29(8), 30–33 (2012)Google Scholar
  12. 12.

Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  1. 1.Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Computer Science and TechnologyHebei UniversityShijiazhuangChina

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