In the field of knowledge science,understanding the structure and dynamic evolution of knowledge is essential for advancing disciplinary development and anticipating research trends.However,current methodologies lack ...In the field of knowledge science,understanding the structure and dynamic evolution of knowledge is essential for advancing disciplinary development and anticipating research trends.However,current methodologies lack a unified semantic framework for the structured representation of knowledge,which impedes the quantitative analysis of its evolution and limits the ability to uncover complex relationships among knowledge entities.展开更多
基金partially supported by EU H2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement(Project-DEEP,grant no.101109045)the National Natural Science Foundation of China(nos.NSFC 62401334 and 62442106)+1 种基金funded by the German Federal Ministry of Education and Research(BMBF)(project AITT,AI-assisted Technology Transfer,no.03LB3058B)the Program of Jiangsu Province under grant NTACT-2024-Z-001.
文摘In the field of knowledge science,understanding the structure and dynamic evolution of knowledge is essential for advancing disciplinary development and anticipating research trends.However,current methodologies lack a unified semantic framework for the structured representation of knowledge,which impedes the quantitative analysis of its evolution and limits the ability to uncover complex relationships among knowledge entities.
