基于耦合关系的馆藏数字资源语义化深度聚合研究
An Analysis of Library-collected Digital Resources Semantic Depth Polymerization Based on Coupling Relationship

摘要 文章以计量分析中的耦合关系为例， 探讨了耦合关系的语义特性及其对数字资源深度聚合能力，提出了基于耦合关系的馆藏数字资源语义化聚合模型，并进行实证研究。结果表明：利用耦合关系对馆藏数字资源进行深度聚合能很好地揭示馆藏数字资源的语义特性， 可以从多个角度对文献资源进行有效组织，为用户提供资源推荐和个性化知识服务，提升图书馆知识服务的能力和效率。
Abstract: This paper proposed a semantic integration method for library digital source utilizing coupling relationship and proved it . The results show that：coupling relationship can be a good method for revealing semantic features of digital resources，organizing knowledge frommultiple angles and providing users recommendations and personal service to enhance the capecity and efficiency of library service .