数学信息检索:综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Pankaj Dadure, Partha Pakray, Sivaji Bandyopadhyay
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引用次数: 0

摘要

数学公式通常用于展示科学、技术、工程和数学(STEM)领域的理论和基本原理。随着 STEM 领域研究的蓬勃发展,大量的科学文献都包含了文字和数学术语。在科学信息中,数学公式的定义是通过上下文和符号结构来表达的,这些上下文和符号结构都遵循特定领域的强烈概念。而文本信息检索则是经过深入研究的,目前已有许多基于文本的搜索引擎。然而,文本信息检索系统不足以搜索包含数学公式的科学信息,包括从简单符号到复杂数学结构的信息。数学信息检索尚处于起步阶段,需要加入新的技术和工具来促进科学信息检索和数字图书馆的管理。本文对数学信息检索进行了全面研究,强调了其面临的挑战和未来的机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Information Retrieval: A Review
Mathematical formulas are commonly used to demonstrate theories and basic fundamentals in the Science, Technology, Engineering, and Mathematics (STEM) domain. The burgeoning research in the STEM domain results in the mass production of scientific documents that contain both textual and mathematical terms. In scientific information, the definition of mathematical formulas is expressed through context and symbolic structure that adheres to strong domain-specific notions. Whereas the retrieval of textual information is well-researched, and numerous text-based search engines are present. However, textual information retrieval systems are inadequate for searching scientific information containing mathematical formulas, including simple symbols to complicated mathematical structures. The retrieval of mathematical information is infancy, and it requires the inclusion of new technologies and tools to promote the retrieval of scientific information and the management of digital libraries. This paper provides a comprehensive study of mathematical information retrieval, highlights their challenges and future opportunities.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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