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