Automatic Replenishment of Metadata of Digital Publications Using the Semantic Services of the Internet

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-03-23 DOI:10.3103/S0005105525700116

P. O. Gafurova

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Abstract

This article describes approaches to replenishing the metadata of documents in electronic collections of a digital mathematical library. An open resource of the semantic network is used as a replenishment. For this purpose, software tools have been developed to search for the necessary data and include them in a metadata set. A separate block of metadata in a scientific article is formed from the affiliation of the authors presented in the document. Typically, ownership in a document does not contain sufficient data to generate a set of metadata. A method has been developed for providing author affiliation metadata, providing an open research organization registry (ROR), as well as means for making connections between ROR and other semantic chains. This method was applied to the collections of articles of the journal Elektronnye Biblioteki (Digital Libraries) for 2021–2022. The article describes a method for connecting the Lobachevsky digital mathematical library-DML to new electronic collections and describes a method for transforming metadata into a digital format that would be available for downloading.

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利用互联网语义服务自动补充数字出版物元数据

本文描述了在数字数学图书馆的电子馆藏中补充文档元数据的方法。利用开放的语义网络资源作为补充。为此，已经开发了软件工具来搜索必要的数据并将其包含在元数据集中。科学文章中单独的元数据块是由文件中作者的隶属关系形成的。通常，文档中的所有权不包含足够的数据来生成一组元数据。已经开发了一种方法，用于提供作者从属关系元数据，提供开放研究组织注册表（ROR），以及在ROR和其他语义链之间建立连接的方法。将该方法应用于电子图书馆期刊（Elektronnye Biblioteki） 2021-2022年的文集。本文描述了一种将Lobachevsky数字数学图书馆- dml连接到新的电子集合的方法，并描述了一种将元数据转换为可用于下载的数字格式的方法。

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

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.