Open Access
| Issue |
ITM Web Conf.
Volume 79, 2025
International Conference on Knowledge Engineering and Information Systems (KEIS-2025)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/itmconf/20257901029 | |
| Published online | 08 October 2025 | |
- X. Mao, H. Sun, X. Zhu, J. Li, Financial fraud detection using the related-party transaction knowledge graph. Procedia Comput. Sci. 199, 733740 (2022). https://doi.org/10.1016/j.procs.2022.01.091 [Google Scholar]
- J. Meierhofer, L. Schweiger, J. Lu, S. Züst, S. West, O. Stoll, D. Kiritsis, Digital twin-enabled decision support services in industrial ecosystems. Appl. Sci. 11, 11418 (2021). https://doi.org/10.3390/app112311418 [Google Scholar]
- X. Zhao, B. Chen, M. Ji, X. Wang, Y. Yan, J. Zhang, S. Liu, M. Ye, C. Lv, Implementation of large language models and agricultural knowledge graphs for efficient plant disease detection. Agriculture 14, 1359 (2024). https://doi.org/10.3390/agriculture14081359 [Google Scholar]
- B. Abu-Salih, M. Al-Qurishi, M. Alweshah, M. Al-Smadi, R. Alfayez, H. Saadeh, Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities. J. Big Data 10, 81 (2023). https://doi.org/10.1186/s40537-023-00774-9 [Google Scholar]
- E. Rajabi, S. Kafaie, Knowledge graphs and explainable AI in healthcare. Information 13, 459 (2022). https://doi.org/10.3390/info13100459 [CrossRef] [Google Scholar]
- B. Hamrouni, A. Bourouis, A. Korichi, M. Brahmi, Explainable ontology-based intelligent decision support system for business model design and sustainability. Sustainability 13, 9819 (2021). https://doi.org/10.3390/su13179819 [Google Scholar]
- X. Meng, B. Jing, S. Wang, J. Pan, Y. Huang, X. Jiao, Fault knowledge graph construction and platform development for aircraft PHM. Sens. 24, 231 (2023). https://doi.org/10.3390/s24010231 [Google Scholar]
- Y. Kong, X. Liu, Z. Zhao, D. Zhang, J. Duan, Bolt defect classification algorithm based on knowledge graph and feature fusion. Energy Rep. 8, 856–863 (2022). https://doi.org/10.1016/j.egyr.2021.11.127 [Google Scholar]
- Y. Shang, Y. Tian, M. Zhou, T. Zhou, K. Lyu, Z. Wang, R. Xin, T. Liang, S. Zhu, J. Li, EHR-oriented knowledge graph system: toward efficient utilization of non-used information buried in routine clinical practice. IEEE J. Biomed. Health Inform. 25, 2463–2475 (2021). https://doi.org/10.1109/JBHI.2021.3085003 [Google Scholar]
- S. Egami, T. Ugai, M. Oono, K. Kitamura, K. Fukuda, Synthesizing event-centric knowledge graphs of daily activities using virtual space. IEEE Access 11, 23857–23873 (2023). https://doi.org/10.1109/ACCESS.2023.3253807 [Google Scholar]
- U. Jaimini, T. Zhang, G.O. Brikis, A. Sheth, iMetaverseKG: Industrial metaverse knowledge graph to promote interoperability in design and engineering applications. IEEE Internet Comput. 26, 59–67 (2023). https://doi.org/10.1109/MIC.2022.3212085 [Google Scholar]
- G. Yu, M. Tabatabaei, J. Mezei, Q. Zhong, S. Chen, Z. Li, J. Li, L. Shu, Q. Shu, Improving chronic disease management for children with knowledge graphs and artificial intelligence. Expert Syst. Appl. 201, 117026 (2022). https://doi.org/10.1016/j.eswa.2022.117026 [Google Scholar]
- Z. Xu, R. Ichise, FinCaKG-Onto: the financial expertise depiction via causality knowledge graph and domain ontology. Appl. Intell. 55, 1–17 (2025). https://doi.org/10.1007/s10489-025-06247-1 [Google Scholar]
- B.P. Jeyaraman, B.T. Dai, Y. Fang, Temporal relational graph convolutional network approach to financial performance prediction. Mach. Learn. Knowl. Extr. 6, 2303–2320 (2024). https://doi.org/10.3390/make6040113 [Google Scholar]
- O. Badmus, O.J. Ikumapayi, R.O. Toromade, A. Sunday, Integrating AI-powered knowledge graphs and NLP for intelligent interpretation, summarization, and cross-border financial reporting harmonization. World Journal of Advanced Research and Reviews 27, 42–62 (2025). https://doi.org/10.30574/wjarr.2025.27.1.2517 [Google Scholar]
- P. Camarillo-Ramirez, F. Cervantes-Alvarez, L.F. Gutiérrez-Preciado, Semantic maps for knowledge graphs: A semantic-based summarization approach. IEEE Access 12, 6729–6744 (2024). https://doi.org/10.1109/ACCESS.2024.3351170 [Google Scholar]
- Y. Song, Construction of event knowledge graph based on semantic analysis. Teh. Vjesn. 28, 16401646 (2021). https://doi.org/10.17559/TV-20210427063132 [Google Scholar]
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