MathIRs: Retrieval System for Scientific Documents

Authors

  • Amarnath Pathak National Institute of Technology Mizoram, Aizawl
  • Partha Pakray National Institute of Technology Mizoram, Aizawl
  • Sandip Sarkar Hijli College, Kharagpur
  • Dipankar Das Jadavpur University, Kolkata
  • Alexander Gelbukh Instituto Politécnico Nacional, Centro de Investigación en Computación

DOI:

https://doi.org/10.13053/cys-21-2-2743

Keywords:

Natural language processing, information retrieval, MathIRs, indexing

Abstract

Effective retrieval of mathematical contents from vast corpus of scientific documents demands enhancement in the conventional indexing and searching mechanisms. Indexing mechanism and the choice of semantic similarity measures guide the results of Math Information Retrieval system (MathIRs) to perfection. Tokenization and formula unification are among the distinguishing ¡ features of indexing mechanism, used in MathIRs, which facilitate sub-formula and similarity search. Besides, the scientific documents and the user queries in MathIRs will contain math as well as text contents and to match these contents we require three important modules: Text-Text Similarity (TS), Math-Math Similarity (MS) and Text-Math Similarity (TMS). In this paper we have proposed MathIRs comprising these important modules and a substitution tree based mechanism for indexing mathematical expressions. We have also presented experimental results for similarity search and argued that proposal of MathIRs will ease the task of scientific document retrieval.  

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Published

2017-06-30

Issue

Vol. 21 No. 2 (2017): Thematic issue: Authorship Analysis (Guest editors: M. Montes, L. Villaseñor)

Section

Articles

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