Methods and Tools for Virtual Semantic Integration of Data from Distributed Heterogeneous Sources
- Authors: Chuprina S.I.1, Gimasheva K.V.2
-
Affiliations:
- Perm State Humanitarian Pedagogical University
- Perm State University
- Issue: No 1 (68) (2025)
- Pages: 145-159
- Section: Computer science
- URL: https://journal-vniispk.ru/1993-0550/article/view/326429
- DOI: https://doi.org/10.17072/1993-0550-2025-1-145-159
- EDN: https://elibrary.ru/lzqeqn
- ID: 326429
Cite item
Full Text
Abstract
About the authors
S. I. Chuprina
Perm State Humanitarian Pedagogical University
Email: chuprinas@inbox.ru
Perm
K. V. Gimasheva
Perm State University
Email: gimashevakv@mail.ru
Perm
References
- Tuzovskiy, A. F. and Yampolskiy, V. Z. (2011), "Integration of information using semantic web technologies", Problemy informatiki, no. 2, pp. 51-58.
- Ballard, C., Davies, N., Gavazzi, M., Stephani, J.and Lurie, M. (2003), IBM Informix: Integration through data federation, IBM International Technical Support Organizat, USA, available at: http://www.iiug.org/library/ids/technical/sg247032.pdf (Accessed: 30.06.2024).
- Patel, A., Debnath, N. C. and Bhushan, B. (2022), Semantic Web Technologies: Research and Applications, 1st ed., CRC Press, USA, 404 p. doi: 10.1201/9781003309420.
- Gruber, T. R. (1993), "A Translation approach to portable ontology specifications", Knowledge Acquisition, vol. 5, no. 2, pp. 199-220.
- Bolshakova, E. I., Vorontsov, K. V., Efremova, N. E., Klyshinskiy, E. S., Lukashevich, N. V. and Sapin, A. S. (2017), Avtomaticheskaya obrabotka tekstov na estestvennom yazyke i analiz dannyh [Automatic text processing in natural language and data analysis], HSE University, Moscow, Russia.
- Chuprina, S. I. (2023), "Using Data Fabric Architecture to Create Personalized Visual Analytics Systems in the Field of Digital Medicine", Scientific visualization, vol. 15(5), pp. 50-63. doi: 10.26583/sv.15.5.05.
- Naidenova, X. A. and Nevzorova, O. A. (2008), "Machine Learning for Natural Language Processing: Contemporary State", Uchehye zapiski Kazanskogo universiteta. Seriya Fiziko-matematicheskie nauki, no. 4, pp. 5-24.
- Nurutdinov, A. R. and Latypov, R. Kh. (2022), "Potentials of the bio-inspired approach in the development of artificial intelligence systems (trends review)", Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, vol. 164, no. 2-3, pp. 244-265. doi: 10.26907/2541-7746.2022.2-3.244-265.
- Semantic Web W3C. URL: https://www.w3.org/standards/ (Accessed: 30.06.2024).
- Calvanese, D., De Giacomo, G. and Lenzerini, M. (2001), "Ontology of integration and integration of ontologies", Proceedings of the 14th Int. Workshop on Description Logics (DL 2001), Stanford, CA, USA, 1-3 August 2001, vol. 49, pp. 10-19.
- Chuprina, S. I. and Gimasheva, K. V. (2024), "Using visual data analysis methods to identify the need for semantic data integration", Trudy Mezhdunarodnoy konferentsii po komputernoy grafike b mashinnomu zreniyu "GraphiCon", Omsk, Russia, 17-19 September 2024, pp. 389-402. doi: 10.25206/978-5-8149-3873-2-2024-389-402.
- Gomes-Perez, A., Fernandez-Lopez, M. and Corcho, O. (2004), Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web, 1st ed., Springer-Verlag, London. 403 p.
- Davies, J. (2010), "Lightweight Ontologies", Theory and Applications of Ontology: Computer Applications, pp. 197-229. doi: 10.1007/978-90-481-8847-5_9.
- Ryabinin, K. and Chuprina, S. (2015), "Development of ontology-based multiplatform adaptive scientific visualization system", Journal of Computational Science, Elsevier, vol. 10, pp. 370-381. doi: 10.1016/j.jocs.2015.03.003.
- Ryabinin, K., Chuprina, S. and Belousov, K. (2019), "Ontology-Driven Automation of IoT-Based Human-Machine Interfaces Development", in Rodrigues, J. (eds), Computational Science - ICCS 2019, ICCS 2019, Lecture Notes in Computer Science, vol. 11540, Springer, Cham, pp. 110-124. DOI: https://doi.org/10.1007/978-3-030-22750-0_9.
- Chuprina, S., Ryabinin, K., Matkin, K. and Koznov, D. (2022), "Ontology-Driven Visual Analytics Software Development", Programming and Computer Software, vol. 48, no. 3, pp. 208-214. DOI: https://doi.org/10.1134/S0361768822030033.
- Ryabinin, K., Chuprina, S. and Labutin, I. (2022), "Tackling IoT Interoperability Problems with Ontology-Driven Smart Approach", in Rocha, A., Isaeva, E. (eds), Science and Global Challenges of the 21st Century - Science and Technology, Perm Forum 2021, Lecture Notes in Networks and Systems, vol. 342, Springer, Cham, pp. 77-91. DOI: https://doi.org/10.1007/978-3-030-89477-1_9.
Supplementary files
