为低预算出版商从MS Word格式的手稿中创建科学文章的HTML版本的方法

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
R. Y. Skornyakova
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引用次数: 0

摘要

科学出版商使用的创建期刊文章HTML版本的最常见方法是首先根据NISO期刊文章标签套件(JATS)标准创建文章的XML版本,然后自动转换为HTML和PDF。然而,当手稿包含大量复杂的公式和表格时,从作者经常使用的MS Word .docx格式的手稿中获取XML版本是一项困难的任务。现有的软件要么无法完全应对它,要么价格昂贵,对预算有限的小型发行商来说难以获得。本文提出了一种方法,可以从包含MathType格式公式的.docx格式手稿中创建期刊文章的HTML版本,这不需要出版商花费大量的资金或时间。它还描述了从.docx格式到HTML和JATS XML格式的原型转换器,该转换器实现了这种方法并适用于KIAM预印本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approach to Creating an HTML Version of a Scientific Article from a Manuscript in MS Word Format for a Low-Budget Publisher

The most common approach to creating an HTML version of a journal article used by scientific publishers is to first create an XML version of the article in accordance with the NISO Journal Article Tag Suite (JATS) standard, followed by automatic conversion to HTML and PDF. However, obtaining an XML version from a manuscript in the MS Word .docx format, often used by authors, when it contains a large number of complex formulas and tables, is a difficult task. Existing software either cannot cope with it in full or is expensive and inaccessible to small publishers on a limited budget. This paper proposes an approach to creating an HTML version of a journal article from a manuscript in .docx format containing formulas in MathType format, which does not require significant financial or time costs from the publisher. It also describes a prototype converter from .docx format to HTML and JATS XML formats that implements this approach and applicable to KIAM preprints.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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