Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

A Semantic Approach for Mathematical Expression Retrieval

Author 1: Zahra Asebriy Author 2: Soulaimane Kaloun Author 3: Said Raghay Author 4: Omar Bencharef
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 9 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070927

Download PDF Cite Call for Papers

Abstract

Math search or mathematical expression retrieval has become a challenging task. Mathematical expressions are very complex, they are highly symbolic, and they have a semantic meaning that we should respect. In this paper, we propose a similarity search method for mathematical expression based on a multilevel representation of expressions and a multilevel search. We used the K-Nearest Neighbors with three types of distances to evaluate relevance between expressions. In the experimental level, the proposed system significantly outperforms statistical algorithms.

Keywords

Mathematical expression Retrieval information MathML Semantic similarity

How to Cite this Article

Asebriy, Z., Kaloun, S., Raghay, S., & Bencharef, O. (2016). A Semantic Approach for Mathematical Expression Retrieval. International Journal of Advanced Computer Science and Applications, 7(9). https://doi.org/10.14569/IJACSA.2016.070927

Asebriy, Zahra, et al.. "A Semantic Approach for Mathematical Expression Retrieval." International Journal of Advanced Computer Science and Applications, vol. 7, no. 9, 2016, https://doi.org/10.14569/IJACSA.2016.070927.

@article{Asebriy2016,
  title     = {A Semantic Approach for Mathematical Expression Retrieval},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {9},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Zahra Asebriy and Soulaimane Kaloun and Said Raghay and Omar Bencharef},
  doi       = {10.14569/IJACSA.2016.070927},
  url       = {https://doi.org/10.14569/IJACSA.2016.070927}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA