Binary vector transformation of math formula for mathematical information retrieval

2019 ◽  
Vol 36 (5) ◽  
pp. 4685-4695
Author(s):  
Amarnath Pathak ◽  
Partha Pakray ◽  
Alexander Gelbukh
2021 ◽  
pp. 631-647
Author(s):  
Ke Yuan ◽  
Liangcai Gao ◽  
Zhuoren Jiang ◽  
Zhi Tang

Author(s):  
Pankaj Dadure ◽  
Partha Pakray ◽  
Sivaji Bandyopadhyay

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.


Given a mathematical query, traditional text retrieval systems are not very effective in retrieving mathematical information from scientific documents. This paper presents the design and implementation of a new mathematical information retrieval (MIR) system: SciMath, which can take a mathematical formulae as a query and retrieve the relevant scientific documents consisting the relevant mathematical contents based on a B-Tree indexing scheme. The proposed system is then compared with two classical math-aware search engines to prove its effectiveness.


Author(s):  
Richard E. Hartman ◽  
Roberta S. Hartman ◽  
Peter L. Ramos

We have long felt that some form of electronic information retrieval would be more desirable than conventional photographic methods in a high vacuum electron microscope for various reasons. The most obvious of these is the fact that with electronic data retrieval the major source of gas load is removed from the instrument. An equally important reason is that if any subsequent analysis of the data is to be made, a continuous record on magnetic tape gives a much larger quantity of data and gives it in a form far more satisfactory for subsequent processing.


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