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

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.