The present study explores the methods of geodata visualization extracted from the metadata of scientific publications for use in scientific research using the scientific heritage of Georgy Gause. It is based on the results of case studies to assess the possibilities of digital information resources, metadata extraction from digital resources, and using methods for their quantitative processing. We have studied methods of extracting metadata from digital information systems that do not have export tools. Our concentration is on methods and technologies of geodata extraction, and their subsequent visualization are considered. They are considered and applied methods of a dynamic clustering of geodata markers. Based on geodata visualization, we interpreter the results. The possibility of using extracted metadata in scientific visualization systems that support standard formats is evaluated.

Original languageEnglish
Title of host publicationDigital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers
EditorsDaniel A. Alexandrov, Yury Kabanov, Olessia Koltsova, Ilya Musabirov, Alexander V. Boukhanovsky, Andrei V. Chugunov
PublisherSpringer Nature
Pages542-553
Number of pages12
ISBN (Print)9783030378578
DOIs
StatePublished - 2019
Event4th International Conference on Digital Transformation and Global Society, DTGS 2019 - ИТМО, St. Petersburg, Russian Federation
Duration: 19 Jun 201921 Jun 2019
Conference number: 4
http://dtgs-conference.org

Publication series

NameCommunications in Computer and Information Science
Volume1038 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Conference on Digital Transformation and Global Society, DTGS 2019
Abbreviated titleDTGS 2019
Country/TerritoryRussian Federation
CitySt. Petersburg
Period19/06/1921/06/19
Internet address

    Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

    Research areas

  • Digital information resources, Digital scientific heritage, Dynamic clusterization, Geodata extraction, Geodata visualization, Georgy F. Gause, Metadata extraction, Scientific information

ID: 50008972