Linking Images to Semantic Knowledge Base with User-generated Tags

Shuangyong Song, Qingliang Miao, Yao Meng
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引用次数: 1

Abstract

Images account for an important part of Multimedia Linked Open Data, but currently most of the semantic relations between images and other entities are based on manual semantic annotation. With the popularity of image hosting websites, such as Flickr, plentiful tagging information of images makes it possible to automatically generate semantic relations between images and other semantic entities. In this paper, we propose a model for linking images to semantic knowledge base (KB) with user-generated tags of those images, while taking into account topical semantic similarity between tags. The experimental results show that our approach can effectively realize the mentioned aim.
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使用用户生成的标签链接图像到语义知识库
图像是多媒体链接开放数据的重要组成部分,但目前大多数图像与其他实体之间的语义关系是基于人工语义标注的。随着Flickr等图片托管网站的普及,丰富的图片标注信息使得自动生成图片与其他语义实体之间的语义关系成为可能。在本文中,我们提出了一个使用用户生成的图像标签将图像链接到语义知识库(KB)的模型,同时考虑了标签之间的主题语义相似性。实验结果表明,该方法可以有效地实现上述目标。
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