基于分布式语义分析的学术创新跨领域演化探析

Cross-domain Evolution of Academic Innovation Based on Distributional Semantic Analysis

[目的/意义]学术创新研究对于把握科学发展规律,促进科研合作交流至关重要。针对当前学术创新相关研究在创新演化分析方面的不足,基于分布式语义分析技术,通过上下文挖掘考察同一学术创新在不同领域中的应用场景变化,跟踪并探析学术创新的跨领域演化特征。[方法/过程]围绕上述研究问题,首先构建探索性研究方案,包括学术创新的跨领域分布测度、分布式语义表征、领域间上下文差异性测度和领域演化特征词提取,其后选取具体创新对研究方案进行实证检验。[结果/结论]结果表明,构建的研究方案在实际应用中能够有效把握学术创新的跨领域分布情况及跨领域演化特征,相关成果有效拓展学术创新研究范畴,并将知识演化研究推进到创新实体层面,实现对具体创新在不同领域中的差异性演化情况的跟踪。

[Purpose/Significance]Research on academic innovation is crucial for understanding the laws of scientific development and promoting collaboration and communication in scientific research.For the inadequacies in current research on innovation evolution analysis,this study utilizes distributional semantic analysis techniques to examine the application scenario changes of the same academic innovation in different fields by mining contextual information,and tracks and explores the cross-domain evolutionary characteristics of academic innovation.[Method/Process]To address the aforementioned research questions,it first conducted an exploratory research plan,including cross-domain distribution measures,distributional semantic representation,inter-domain contextual differences measures,and feature term extraction of domain evolution of academic innovation.Subsequently,it selected a specific innovation to empirically test the research plan.[Result/Conclusion]The results demonstrate that the research plan constructed in this study effectively captures the cross-domain distribution and evolutionary characteristics of academic innovation in practical applications.The findings expand the scope of academic innovation research and further knowledge evolution research into the innovation entity level,enabling the tracking of differential evolutionary patterns of specific innovations across different domains.