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[目的/意义]为缩小博物馆图像检索中的语义鸿沟现象,探究社会标签及其分类机制在博物馆资源组织中的应用价值,以期进一步推进文化遗产在博物馆中的虚拟展示并提高其资源访问率。[方法/过程]将现有的图像需求表达分类框架进行扩展,构建社会标签分类模型,搭建社会标签分类平台,研究标签分布与用户语言表达规律。[结果/结论]研究表明:用户更偏好描述图像的主题内容而非其外部特征,更习惯使用通用类型的语词来表达图像主题内容,更倾向于描述人或物的相关内容。
[Purpose / Significance] In order to reduce the semantic gap in museum image retrieval, this paper explores the application value of social tags and their classification mechanism in the museum resource organization, in order to further promote the cultural heritage display in the museum and improve the resource access rate. [Method / Process] Expand the existing classification framework of image requirement expression to construct a social tag classification model and set up a social tag classification platform to study the distribution of tags and the rules of user language expression. [Results / Conclusion] The research shows that users prefer to describe the subject matter of the image rather than its external features, and are more accustomed to expressing the subject matter of images in general terms and prefer to describe the related content of people or objects.