Methods of processing large collections of scientific documents and the formation of digital mathematical library

Abstract

Copyright © 2020 for this paper by its authors. Digital mathematical libraries are today one of the tools for integrating mathematical knowledge. This integration method is based on the use of metadata. Our task was to create methods to programmatically extract the necessary objects from digital mathematical documents, establish semantic relationships between them and generate the necessary sets of metadata. Based on the analysis of the structure of the set of documents under consideration and the stylistic features of their design, an algorithm has been developed for extracting their metadata, creating digital collections and then including them in the corresponding digital library. The algorithm is implemented as a software system and tested on the example of a set of files “Proceedings of the N.I. Lobachevskii Mathematical Center” for 1998–2018. A corresponding digital collection has been created, which is included in the Lobachevskii Digital Mathematical Library (Lobachevskii DML, https://lobachevskii-dml.ru/).