The information system Math-Net.Ru. Application of contemporary technologies in the scientific work of mathematicians

Жижченко, Алексей Борисович; Izaak, Alexander D.

doi:10.1070/rm2007v062n05abeh004455

Cited by 18 publications

(6 citation statements)

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“…The all-Russian portal Math-Net.Ru (URL: http://www.mathnet.ru/) is a modern digital library that provides Russian and foreign scientists with various opportunities to search for scientific information on mathematics, physics, information technology and related sciences in Russian. This project has been developing since 2006 (see [37][38][39]). This digital library today contains more than 293 thousand publications (including more than 276 thousand scientific articles) from 143 scientific journals; more than 24.7 thousand reports and lectures presented at 1755 conferences.…”

Section: "Smaller" Dmls and Their Featuresmentioning

confidence: 99%

Digital Libraries and the Common Digital Space of Mathematical Knowledge

Елизаров

Lipachev

2021

Preprint

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We present the results of the development of a range of semantic services for the integrated management of electronic scientific collections. The goals of these developments are the formation of a unified digital space of mathematical knowledge, as well as information support for research activities in the field of mathematics and computer science. The digital collections we create and the semantic services we develop form the backbone of the Lobachevskii-DML digital math library. In implementing this study, we used approaches that are consistent with the widely discussed and accepted concepts of building the World Digital Mathematical Library (WDML).

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Section: "Smaller" Dmls and Their Featuresmentioning

confidence: 99%

Digital Libraries and the Common Digital Space of Mathematical Knowledge

Елизаров

Lipachev

2021

Preprint

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“…To test scalability and efficiency of the hedonic game approach, we have chosen to cluster a fairly large social network. We have crawled the site Math-Net.ru, Russian Mathematical Portal, for the co-authorship graph [ 51 ]. We further extracted the giant connected component of this co-authorship network, which includes 41,840 authors.…”

Section: Numerical Validationmentioning

confidence: 99%

Network partitioning algorithms as cooperative games

et al. 2018

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The paper is devoted to game-theoretic methods for community detection in networks. The traditional methods for detecting community structure are based on selecting dense subgraphs inside the network. Here we propose to use the methods of cooperative game theory that highlight not only the link density but also the mechanisms of cluster formation. Specifically, we suggest two approaches from cooperative game theory: the first approach is based on the Myerson value, whereas the second approach is based on hedonic games. Both approaches allow to detect clusters with various resolutions. However, the tuning of the resolution parameter in the hedonic games approach is particularly intuitive. Furthermore, the modularity-based approach and its generalizations as well as ratio cut and normalized cut methods can be viewed as particular cases of the hedonic games. Finally, for approaches based on potential hedonic games we suggest a very efficient computational scheme using Gibbs sampling.

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“…The most important problems of the metadata formation for scientific retro collections documents are presented in [15,16]. In general, methods of forming metadata of mathematical documents are being developed in projects for creating digital mathematical libraries (see, for example, [15,[17][18][19][20][21][22][23]).…”

Section: Introductionmentioning

confidence: 99%

Wikidata in Metadata Formation Methods for Documents of Digital Mathematical Library

Елизаров

Gafurova

Lipachev

2021

Proceedings of 23rd Scientific Conference “Scientific Services &Amp; Internet – 2021”

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Methods for the formation of digital collections of a digital mathematical library are presented. With the help of tools for analyzing the structure of documents and their style features, the main set of document metadata has been formed. For each document, this set includes the title of the article, a list of authors, and a list of cited bibliography. To supplement the metadata, methods of extracting knowledge from Wikidata were used. With the help of the developed system of SPARQL-queries, the search and refinement of data on documents of the collections was carried out. In particular, information about the authors of the articles has been added (full spelling of surnames, first names, patronymics in various languages, place of work at the time of writing the article, etc.). In addition, methods are proposed for refining and supplementing bibliographic references given in the articles. When forming metadata of retro collections, a search was made in Wikidata for information about the years of life of authors of articles, URLs of web pages with information about articles and their authors. The results of the several digital collections formation, which are included in the digital library Lobachevskii-DML, are presented.

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The information system Math-Net.Ru. Application of contemporary technologies in the scientific work of mathematicians

Cited by 18 publications

References 0 publications

Digital Libraries and the Common Digital Space of Mathematical Knowledge

Digital Libraries and the Common Digital Space of Mathematical Knowledge

Network partitioning algorithms as cooperative games

Wikidata in Metadata Formation Methods for Documents of Digital Mathematical Library

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