• Main Navigation
  • Main Content
  • Sidebar

Russian Digital Libraries Journal

  • Home
  • About
    • About the Journal
    • Aims and Scopes
    • Themes
    • Editor-in-Chief
    • Editorial Team
    • Submissions
    • Open Access Statement
    • Privacy Statement
    • Contact
  • Current
  • Archives
  • Register
  • Login
  • Search
Published since 1998
ISSN 1562-5419
16+
Language
  • Русский
  • English

Search

Advanced filters

Search Results

The History Of Genius Discovery Software

Roman Valerʹevich Mosolov
1239-1278
Abstract:

This article description the conception of History of Genius Discovery (History GD) software. The software has few similarities with GitHub software that have got wide famous at the professional developer’s community. The software appealed to solve two main science issues. History GD will save science and cultural heritage of Russian scientists and accumulate initial data for measuring tendencies of science theorems formation. The last will give the probability for appending The Structure of Scientific Revolutions by Thomas S. Kuhn by using numeric big data. Also, the software will minimise probability of losing scientific manuscripts by reason of scientists deaths. Software engineering, sociology, philosophy, law, and history are five scientific directions that are used as base for creating this software. The idea of creation have got at Kazan Federal University when we learned Big Data Science.

Keywords: The History of Genius Discovery, History GD, scientific heritage, cultural heritage, genius patterns, scientific software, software for scientists, GitHub for scientists.

Visualization tools for co-author networks and citation networks of large scientific portals

З.В. Апанович, П.С. Винокуров
Abstract: Due to the fast development of Semantic Web and its new branch of Linked Open Data, large amounts of structured information on various scientific areas become available. Digital libraries, information systems and portals based on ontologies are the most reliable sources of this information that need careful investigation in order to optimize science management. A generally accepted way to facilitate understanding of such large and complex data sets is graph visualization. This paper is devoted to newly developed visualization algorithms of co-authorship and citation networks extracted from information portals and digital libraries of the Linked Open Data cloud.
Keywords: scientific portal, ontology, content, information visualization, layered graph drawing, citation networks, modularity, Open Linked Data.

Development of the Information System for Registering the Result of Scientific Institution’ Employees Intellectual Activity

Svetlana Aleksandrovna Vlasova, Nikolay Evgenevich Kalenov
770-793
Abstract:

The article describes a Web-system developed by the authors that implements services related to the formation and provision of multifaceted information about the results of scientific activities (publications, copyright certificates and reports at scientific events) of employees of an organization or a group of organizations. The system is focused both on the end user interested in obtaining specific data, and on the administrative staff, who generates reporting materials for the parent organization. The information base of the system contains metadata on the following classes of objects: persons (authors), organizations and their subdivisions; publications at analytical, monographic and summary levels; copyright certificates; scientific events (conferences, symposia, seminars); reports. The system includes two modules – an administrative one (intended for entering and editing data) and a user one, which is a special search engine that searches for information, visualizes it, provides navigation among related resources and exports data. A distinctive feature of the system is the introduced concept of “equivalent” objects. Objects are considered equivalent if they are represented in the system by different metadata, but referring to the same physical entity. Such objects are “persons” corresponding to one author with different spellings of the surname in the bibliographic descriptions of publications; organizations with different variants of names; articles published unchanged in various languages. In accordance with modern requirements for reporting on publications, the system reflects the sources of research funding, as well as the affiliations indicated in the articles for each author.

Keywords: scientific works, scientific activity, automated system, database, management reports, network technologies.

List of HAC: User Interface in the RSJ Database and ELibrary.ru

Tatyana Alekseevna Polilova
43-64
Abstract:

The List of peer-reviewed scientific journals of the Higher Attestation Commission is gradually turning into a complex information system based on the normative documents of the Higher Attestation Commission, bibliometric data eLibrary.ru, decisions of the expert councils of the Higher Attestation Commission and working groups engaged in the analysis, ranking and categorization of the journals of the List. The Russian Scientific Journals (RSJ) database created by RIEP can become a system that serves the requests of different categories of users related to the topic of dissertation defense. So far, the RSJ has implemented the interface of a representative of the editorial board of the journal and the interface of a member of the expert council of the Higher Attestation Commission. It is desirable to include in the RSJ an open interface addressed to the degree applicant to verify compliance with the requirements of the Higher Attestation Commission for publications in journals from the List. With the established mutual exchange of data between RSJ and eLibrary.ru, the applicant's interface with the designated functionality can be organized in the eLibrary.ru user environment.

Keywords: scientific journal, information system, bibliographic database, HAC List, RSJ database, eLibrary.ru, the interface of the scientific degree applicant.
1 - 4 of 4 items
Information
  • For Readers
  • For Authors
  • For Librarians
Make a Submission
Current Issue
  • Atom logo
  • RSS2 logo
  • RSS1 logo

Russian Digital Libraries Journal

ISSN 1562-5419

Information

  • About the Journal
  • Aims and Scopes
  • Themes
  • Author Guidelines
  • Submissions
  • Privacy Statement
  • Contact
  • eLIBRARY.RU
  • dblp computer science bibliography

Send a manuscript

Authors need to register with the journal prior to submitting or, if already registered, can simply log in and begin the five-step process.

Make a Submission
About this Publishing System

© 2015-2025 Kazan Federal University; Institute of the Information Society