Integration Approach to Documentation Based on Metagraphs
- Authors: Seliverstova A.V.1, Vinogradova M.V.1, Loseva S.S.1, Gapanyuk Y.E.1
-
Affiliations:
- Bauman Moscow State Technical University
- Issue: Vol 11, No 5 (2024)
- Pages: 117-123
- Section: MATHEMATICAL AND SOFTWARE OF COMPUTЕRS, COMPLEXES AND COMPUTER NETWORKS
- URL: https://journal-vniispk.ru/2313-223X/article/view/284857
- DOI: https://doi.org/10.33693/2313-223X-2024-11-5-116-123
- EDN: https://elibrary.ru/BXPUIZ
- ID: 284857
Cite item
Abstract
This article provides an overview of the integration approach to documentation based on metagraphs. This approach synthesizes the principles of documenting methods of working with graph data structures, allowing you to describe the relationships and interactions between various elements of information in the documentation. The article examines the importance of metagraphs for the organization of information, their impact on structuring and the value of documentation for users. The architectural framework of metagraphs, their flexibility in adapting to changing requirements, as well as their role in ensuring consistency and quality of the material are analyzed in detail. The use of metadata and meta-texts for structuring information, sharing and coordinating efforts in a team is considered. The article highlights the advantages of the integration approach to documentation based on metagraphs in creating a unified understanding of the subject area and simplifying work with distributed data.
About the authors
Anastasia V. Seliverstova
Bauman Moscow State Technical University
Author for correspondence.
Email: seliverstova@bmstu.ru
ORCID iD: 0009-0003-9065-4218
senior lecturer, Department of Information Processing and Management Systems
Russian Federation, MoscowMaria V. Vinogradova
Bauman Moscow State Technical University
Email: vinogradova.m@bmstu.ru
ORCID iD: 0000-0002-9542-2497
Cand. Sci. (Eng.); associate professor, Department of Information Processing and Management Systems
Russian Federation, MoscowSvetlana S. Loseva
Bauman Moscow State Technical University
Email: losevass@bmstu.ru
assistant lecturer, Department of Information Processing and Management Systems
Russian Federation, MoscowYuriy E. Gapanyuk
Bauman Moscow State Technical University
Email: gapyu@bmstu.ru
ORCID iD: 0000-0001-9005-8174
Scopus Author ID: 55582371200
ResearcherId: GZK-6257-2022
Cand. Sci. (Eng.); associate professor, Department of Information Processing and Management Systems
Russian Federation, MoscowReferences
- Basu A., Blanning R.V. Metagraphs and their applications. New York: Springer, 2007.
- Globa L.S., Ternovoy M.Yu., Shtogrina E.S. Metagraphs as the basis for the representation and use of fuzzy knowledge bases. In: Open semantic technologies for designing intelligent systems = Open Semantic Technologies for Intelligent Systems (OSTIS-2015). Materials of the V international scientific-technical conf. (Minsk, February 19–21, 2015). V.V. Golenkov (chief ed.) et al. Minsk: BSUIR, 2015. Pp. 237–240.
- Astanin S.V., Dragnysh N.V., Zhukovskaya N.K. Nested metagraphs as models of complex objects. Engineering Bulletin of the Don. 2012. No. 4. URL: ivdon.ru/ru/magazine/archive/n4p2y2012/1434
- Gapanyuk Yu.E., Revunkov G.I., Samokhvalov E.N. Using metagraphs to describe the semantics and pragmatics of information systems. Herald of the Bauman Moscow State Technical University. Serie: Instrument Making. 2015. No. 1. Pp. 83–99. (In Rus.)
- Gapanyuk Yu.E., Kaganov Yu.T., Revunkov G.I. et al. Metagraph approach for describing hybrid intelligent information systems. Applied Computer Science. 2017. No. 3 (69). Vol. 12. Pp. 57–79. (In Rus.)
- Gapanyuk Yu.E., Terekhov V.I., Chernenky V.M. Representation of complex networks based on metagraphs. In: Neuroinformatics-2016. Collection of scientific works of XVIII All-Russian Scientific and Technical Conference. Part 1. Moscow: National Research Nuclear University MEPhI, 2016. Pp. 173–178.
- Gapanyuk Yu.E., Eliseev G.B., Revunkov G.I., Semenchenko I.I. Implementation of metagraph processing using the actor approach. Dynamics of Complex Systems – XXI Century. 2019. Vol. 13. No. 4. Pp. 36–45. (In Rus.)
- Goryachkin B.S., Seliverstova A.V., Shirokov P.Yu. Analysis and assessment of VPN technologies. Natural and Technical Sciences. 2023. (In Rus.)
- Goryachkin B.S., Seliverstova A.V., Shirokov P.Yu. Optimization for VPN latency. In: Collection of the II All-Russian Scientific Conference “Artificial intelligence in automated control and data processing systems”. 2023.
- Vinogradova M.V., Larionov A.S. An approach to the automatic determination and analysis of data conversion problems during the integration of information systems. Mathematical Methods in Technologies and Engineering 2023. No. 4. Pp. 100–104. (In Rus.)
- Vinogradova M.V., Larionov A.S. Construction of business process models for the knowledge base of an enterprise information system based on the analysis of user actions. Mathematical Methods in Technologies and Engineering. 2021. No. 4. Pp. 61–69. (In Rus.)
- Gapanyuk Yu.E., Zonova A.V., Lyalin A.I. et al. Features of the implementation of metagraph agents based on the production approach. Dynamics of Complex Systems – XXI Century. 2023. Vol. 17. No. 3. Pp. 78–84. (In Rus.)
- Belousov E.A., Erokhin I.A., Zvonarev A.E. et al. Metagraphic description of image semantics. Natural and Technical Sciences. 2021. No. 7 (158). Pp. 179–182. (In Rus.)
- Gapanyuk Yu.E. Extension of metagraph model on the basis of protograph approach. Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications. 2023. Vol. 33. Issue 3. Pp. 300–305.
- Krivenko A.S., Shtogrina E.S. Metagraph visualization method. Scientific and Technical Bulletin of Information Technologies, Mechanics and Optics of the St. Petersburg National Research University ITMO. 2014. No. 3 (91). Pp. 124–130. (In Rus.)
Supplementary files
