The purpose of this paper is to explore the potential of enriching the library subject headings with folksonomy for enhancing the visibility and usability of the library subject headings.,The WorldCat-million data set and SocialBM0311 are preprocessing and over 210,000 library catalog records and 124,482 non-repeating tags were adopted to construct the matrix to observe the semantic relation between library subject headings and folksonomy. The proposed system is compared with the state-of-the-art methods and the parameters are fixed to obtain effective performance.,The results demonstrate that by integrating different semantic relations from library subject headings and folksonomy, the system’s performance can be improved compared to the benchmark methods. The evaluation results also show that the folksonomy can enrich library subject headings through the semantic relationship.,The proposed method simultaneous weighted matrix factorization can integrate the semantic relation from the library subject headings and folksonomy into one semantic space. The observation of the semantic relation between library subject headings and social tags from folksonomy can help enriching the library subject headings and improving the visibility of the library subject headings.

中文翻译：

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使用民间分类法丰富图书馆主题词

本文的目的是探索使用民间分类法丰富图书馆主题词的潜力，以提高图书馆主题词的可见性和可用性。WorldCat-million 数据集和 SocialBM0311 正在预处理，超过 210,000 条图书馆目录记录和 124,482 条非-采用重复标签构建矩阵，观察图书馆主题词与民俗分类法之间的语义关系。将所提出的系统与最先进的方法进行比较，并固定参数以获得有效的性能。结果表明，通过整合图书馆主题词和民间分类的不同语义关系，系统的性能可以提高基准方法。评价结果还表明，大众分类法可以通过语义关系丰富图书馆主题词。提出的同时加权矩阵分解方法可以将图书馆主题词和大众分类法的语义关系整合到一个语义空间中。通过民间分类法观察图书馆主题词与社会标签的语义关系，有助于丰富图书馆主题词，提高图书馆主题词的可见度。