Visualizing and Validating Multilingual Thematic Structures in Knowledge Graphs
Анотація
This study presents an extended methodological framework for exploring and validating thematic structures within multilingual cybersecurity discourse. Building upon bilingual knowledge graphs that integrate entities and relations extracted from English and Ukrainian texts, the work introduces a structural validation and visualization layer based on Association Rule Mining and analytics based on graphs. The objective is to expose statistically meaningful relationships between thematic clusters and to visualize these dependencies in a transparent, interpretable manner.
Посилання
[1] R. K. Mishra, H. Raj, S. Urolagin, J. A. A. Jothi, and N. Nawaz (2022). ClusterBased Knowledge Graph and Entity-Relation Representation on Tourism Economical Sentiments. Applied Sciences, 12(16), 8105. DOI: 10.3390/app12168105
[2] L. Ding, S. Zhou, J. Xiao, and J. Han (2024). Automated Construction of ThemeSpecific Knowledge Graphs. arXiv preprint, arXiv:2404.19146. DOI: 10.48550/arXiv.2404.19146
[3] M. Naeem, W. Ozuem, K. Howell, and S. Ranfagni (2023). A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. International Journal of Qualitative Methods, 22, 16094069231205789. DOI: 10.1177/16094069231205789
[4] Y. Li, M. Thomas, and K.-M. Osei-Bryson (2014). Using Association Rules Mining to Facilitate Qualitative Data Analysis in Theory Building. In K.-M. Osei Bryson and O. Ngwenyama (Eds.), Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking (pp. 79–91). Boston, MA: Springer US. DOI: 10.1007/978-14614-9463-8_7
[5] B. Pavlyshenko and M. Stasiuk (2025). Semantic Similarity Analysis Using Transformer-Based Sentence Embeddings. Electronics and Information Technologies / Електроніка та інформаційні технології, (30), 43–58. DOI: 10.30970/eli.30.4
[2] L. Ding, S. Zhou, J. Xiao, and J. Han (2024). Automated Construction of ThemeSpecific Knowledge Graphs. arXiv preprint, arXiv:2404.19146. DOI: 10.48550/arXiv.2404.19146
[3] M. Naeem, W. Ozuem, K. Howell, and S. Ranfagni (2023). A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. International Journal of Qualitative Methods, 22, 16094069231205789. DOI: 10.1177/16094069231205789
[4] Y. Li, M. Thomas, and K.-M. Osei-Bryson (2014). Using Association Rules Mining to Facilitate Qualitative Data Analysis in Theory Building. In K.-M. Osei Bryson and O. Ngwenyama (Eds.), Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking (pp. 79–91). Boston, MA: Springer US. DOI: 10.1007/978-14614-9463-8_7
[5] B. Pavlyshenko and M. Stasiuk (2025). Semantic Similarity Analysis Using Transformer-Based Sentence Embeddings. Electronics and Information Technologies / Електроніка та інформаційні технології, (30), 43–58. DOI: 10.30970/eli.30.4
Опубліковано
2026-01-07
Як цитувати
Stasiuk, M., & Pavlyshenko, B. (2026). Visualizing and Validating Multilingual Thematic Structures in Knowledge Graphs. Комп’ютерне моделювання та інформаційні технології. вилучено із https://conf.nltu.edu.ua/index.php/conf1/article/view/466
Розділ
ІНТЕЛЕКТУАЛЬНІ ІНФОРМАЦІЙНІ СИСТЕМИ
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