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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。
Taking the coupling relation in econometric analysis as an example, this paper discusses the semantic characteristics of the coupling relation and its ability of deep aggregation of digital resources, and puts forward the semantic aggregation model of the digital resources based on the coupling relation and makes an empirical study. The results show that the deep aggregation of the digital resources in the collection can reveal the semantic characteristics of the digital resources in the collection well, and can effectively organize the literature resources from multiple perspectives, provide users with resource recommendation and personalized knowledge services, enhance the book Library knowledge service capabilities and efficiency.