Information Retrieval for Texts with Formulas

Y. Korukhova, Kseniia Pavlovna Kriger, Evgeniia Borisovna Riazanova
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Abstract

Nowadays a large number of scientific articles, research texts and books have been converted into digital form and published on open-access web sites. Formulas are an important component of research works, especially in mathematics, in natural sciences and in engineering disciplines. But most of the well-known modern search engines do not implement mathematical retrieval of texts from formulas. A mathematical search engine could solve many problems for authors doing some research and also for educational purposes also. In this paper, an approach to creating a mathematical search system for collections of documents, including those containing scanned images, is proposed: software tools and libraries are selected that allow them to be automatically translated into a structured form with possible error corrections. The paper presents a method for constructing an index and a fuzzy search algorithm. The proposed approaches are implemented in a prototype software system.
带公式文本的信息检索
如今,大量的科学文章、研究文本和书籍已被转换成数字形式,并在开放获取网站上发布。公式是研究工作的重要组成部分,特别是在数学、自然科学和工程学科中。但是大多数著名的现代搜索引擎不实现从公式中检索文本的数学方法。数学搜索引擎可以解决许多问题,为作者做一些研究,也为教育目的。在本文中,提出了一种为文档集合(包括那些包含扫描图像的文档)创建数学搜索系统的方法:选择软件工具和库,使它们能够自动转换为具有可能的错误纠正的结构化形式。本文提出了一种索引的构造方法和模糊搜索算法。在一个原型软件系统中实现了所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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