Initially, the aim of the Semantic web was to invisibly annotate web pages with a set of meta-attributes and categories to enable machines to interpret text and put it in some kind of context.
语义网的最初目的是，通过meta属性和分类给网页添加注释，从而让机器可以解读文本，并建立相关语境。
The main purpose of semantic tags is to re-use the normal content of an HTML document, and to annotate it with meta-information that is evaluated during Document Object Model (DOM) parsing.
语义标签的主要目的是再使用 HTML 文件的正常内容，并使用在 Document Object Model（DOM）分析期间评价的源信息对其进行注解。
How to annotate the image semantic automatically in order to across semantic gap between the feature and the high-level semantic of the image is a difficult problem.
如何跨越图像底层特征和高层语义之间的语义鸿沟，使机器自动的实现图像语义标注更是研究的难点。
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