The system of automatic generation of a block of metadata of scientific documents using open databases А.
- 1 Kazan Federal University, Institute of Information Technologies and Intelligent Systems (Kazan, Russia)
Abstract
The problem of automatic formation of a block of metadata for scientific documents is investigated. The annual growth in the volume of scientific publications leads to the need to process and structure metadata, which often contains errors, inaccuracies or are incomplete. Manual generation and refinement of metadata requires considerable time and does not provide high accuracy. As part of the current study, a system that automatically generates metadata blocks for scientific documents using data from scientific publication search services and open knowledge bases is being implemented to address these problems. The implemented solution provides automation of the process of extracting, clarifying and supplementing the metadata of scientific publications in order to subsequently form an electronic collection of scientific documents for Lobachevskii-DML in accordance with accepted international standards.
- Received
- 24.02.2026
- Approved after review
- 26.02.2026
- Accepted
- 10.03.2026
How to cite
Хамеджанов А.Р. Система автоматического формирования блока метаданных научных документов с использованием открытых баз данных // Системы высокой доступности. 2026. Т. 22. № 1. С. 51−55. DOI: https://doi.org/10.18127/j20729472-202601-10
References
- Scimago Journal & Country Rank. URL: https://www.scimagojr.com/countryrank.php
- Gartner R. Metadata. Shaping Knowledge from Antiquity to the Semantic Web. Springer Cham. 2016. https://doi.org/10.1007/978-3-319-40893-4
- Kogalovskij M.R. Metadanny`e, ix svojstva, funkcii, klassifikaciya i sredstva predstavleniya. CEUR Workshop Proceedings. 2012. V. 934. S. 3–14.
- Kogalovsky M.R. Metadata in Computer Systems. Programming and Computer Software. 2013. V. 39. № 4. P. 182–193. https://doi.org/10.1134/S0361768813040038
- Kogalovskij M.R., Serebryakov V.A. Metadanny`e. Obshhenacional`ny`j interaktivny`j e`nciklopedicheskij portal «Znaniya». 2022. № 9. https://doi.org/10.54972/00000048_2022_9_48
- Gafurova P.O., Lipachyov E.K. Metod utochneniya affiliacii avtorov nauchny`x dokumentov na osnove zaprosov k semanticheskoj seti. Nauchny`j servis v seti Internet. 2022. S. 115–127. https://doi.org/10.20948/abrau-2022-31
- Gafurova P.O., Elizarov A.M., Lipachyov E.K. Lobachevskii-DML: formirovanie arxivny`x matematicheskix kollekcij. Nauchny`j servis v seti Internet. 2020. S. 171–183. https://doi.org/10.20948/abrau-2020-23
- Elizarov A.M., Lipachyov E.K. Cifrovaya biblioteka Lobachevskii-DML v nauchnom prostranstve matematicheskix znanij. Nauchno-texnicheskaya informaciya. Ser. 1. 2023. № 1. S. 32–37. https://doi.org/10.36535/0548-0019-2023-01-3
- Elizarov A., Lipachev E. BIG MATH Methods in Lobachevskii-DML Digital Library. CEUR Workshop Proceedings. 2019. V. 2523. P. 59–72.
- Elizarov A., Lipachev E. Digital Library Metadata Factories. CEUR Workshop Proc. 2021. V. 2813. P. 13–21.
- Gafurova P.O., Elizarov A.M., Lipachyov E.K. Bazovy`e servisy` fabriki metadanny`x cifrovoj matematicheskoj biblioteki Lobachevskii-DML. E`lektronny`e biblioteki. 2020. T. 23. № 3. S. 336–381. https://doi.org/10.26907/1562-5419-2020-23-3-336-381
- Gafurova P.O., Elizarov A.M., Lipachyov E.K. Izvlechenie znanij iz Wikidata dlya formirovaniya metadanny`x dokumentov e`lektronny`x matematicheskix kollekcij. E`lektronny`e biblioteki. 2021. T. 24. № 6. S. 1023–1059. https://doi.org/10.26907/1562-5419-2021-24-6-1023-1059
- GeneRation Of BIbliographic Data. URL: https://grobid.readthedocs.io/en/latest/Introduction