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中国科技术语 ›› 2025, Vol. 27 ›› Issue (4): 142-144.doi: 10.12339/j.issn.1673-8578.2025.04.032
• 数据技术 • 上一篇 下一篇
马天骐()
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作者简介:
马天骐(1992—),男,硕士,中核第七研究设计院有限公司,研究方向为同位素分离。通信方式:matiangqi230079@gmail.com。
MA Tianqi()
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摘要：
基于核能领域文献大数据构建核燃料术语分析平台,通过时序分析与知识图谱技术系统研究术语动态演化规律,揭示术语体系在技术发展阶段的演化特征。分析表明,核燃料术语体系随技术代际更迭持续演进,在保持核心结构稳定性基础上吸纳创新要素,形成动态演化体系。通过构建融合深度学习与复杂网络的术语演化预测模型,识别技术发展趋势,为核能领域术语规范化建设提供理论依据。
关键词: 核燃料术语, 动态演化, 大数据分析, 知识图谱, 发展趋势
Abstract:
A nuclear fuel terminology analysis platform is constructed based on the big data of literature in the field of nuclear energy.The dynamic evolution law of terminology is systematically studied through temporal analysis and knowledge graph technology,and the evolution characteristics of the terminology system in the development stage of technology are revealed.The analysis shows that the nuclear fuel terminology system continues to evolve with the change of technology generation,absorbing innovative elements while maintaining the stability of the core structure,and forming a dynamic evolution system.By constructing a terminology evolution prediction model integrating deep learning and complex networks,the development trend of technology is identified,and the theoretical basis for the normalization of terminology in the field of nuclear energy is provided.
Key words: nuclear fuel terminology, dynamic evolution, big data analysis, knowledge graph, development trend
马天骐. 基于大数据的核燃料术语动态演化研究[J]. 中国科技术语, 2025, 27(4): 142-144.
MA Tianqi. Research on the Dynamic Evolution of Nuclear Fuel Terminology Based on Big Data[J]. China Terminology, 2025, 27(4): 142-144.
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链接本文: https://www.term.org.cn/CN/10.12339/j.issn.1673-8578.2025.04.032
https://www.term.org.cn/CN/Y2025/V27/I4/142
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