Affiliation:
1. National Institute of Technology, Silchar, India
Abstract
Mathematical formulas are widely used to express ideas and fundamental principles of science, technology, engineering, and mathematics. The rapidly growing research in science and engineering leads to a generation of a huge number of scientific documents which contain both textual as well as mathematical terms. In a scientific document, the sense of mathematical formulae is conveyed through the context and the symbolic structure which follows the strong domain specific conventions. In contrast to textual information, developed mathematical information retrieval systems have demonstrated the unique and elite indexing and matching approaches which are beneficial to the retrieval of formulae and scientific term. This chapter discusses the recent advancement in formula-based search engines, various formula representation styles and indexing techniques, benefits of formula-based search engines in various future applications like plagiarism detection, math recommendation system, etc.
Reference44 articles.
1. OpenMath and MathML: semantic markup for mathematics. XRDS: Crossroads;O. a.Caprotti;The ACM Magazine for Students,1999
2. An empirical analysis on retrieval of math information from the scientific documents.;P. a.Dadure;International Conference on Communication and Intelligent Systems,2019
3. Dadure, P. a. (2020). An Analysis of Variable-Size Vector Based Approach for Formula Searching. CLEF 2020 Working Notes Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum Thessaloniki, 2696.
4. Mathematical Document Retrieval System based on Signature Hashing
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