A comparison study of Flickr's folksonomies and ontologies

Rachanee Ungrangsi, Chutiporn Anutariya
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引用次数: 3

Abstract

Flickr is a widely-known Web 2.0 photo sharing system that allows users to describe their own photos with tags (aka. folksonomies) for indexing purposes. However, its tag-based photo retrieval function is severely hampered by the inherent nature of folksonomies. As the first step moving towards the alleviation of the problem, this paper, therefore, investigates characterizations of folksonomies on Flickr through its all-time most popular tags. In particular, the study focuses on tag clusters, related tags, and tag categorizations of the all-time most popular tags and compares them with concepts formally defined in ontologies from the Semantic Web. The experimental results imply the feasibilit of employing the Semantic Web technology in searching Flickr photos.
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Flickr的大众分类法和本体的比较研究
Flickr是一个广为人知的Web 2.0照片共享系统,它允许用户用标签描述自己的照片。大众分类法)用于索引目的。然而,其基于标签的照片检索功能受到大众分类法固有特性的严重阻碍。因此,作为缓解这个问题的第一步,本文通过Flickr有史以来最受欢迎的标签来研究其民间分类法的特征。特别地,研究集中在标签簇、相关标签和历史上最流行标签的标签分类上,并将它们与语义网本体中正式定义的概念进行比较。实验结果表明,将语义Web技术应用于Flickr图片搜索是可行的。
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