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Phrase Grammar-based Automatic Conceptual Tagging System

机译:短语基于语法的自动概念标记系统

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The advent of XML framework has brought into focus the notion of semantic tagging of Web documents. At present, many of the web pages are in the HTML format, and the next generation of the Web is likely to be dominated by XML. In this context, a mechanism to automatically detect and tag domain-specific concepts in a classified set of documents will reduce the manual effort needed to tag the free text documents. In this paper, we describe a mechanism to accomplish this using a phrase grammar-based approach. The referral link-based ranking method of web pages is critically examined. The proposed method is projected as a semantic alternative to this ranking scheme.
机译:XML框架的出现集中了焦点了Web文档的语义标记的概念。目前,许多网页都处于HTML格式,下一代Web可能由XML主导。在此上下文中,在分类的文档集中自动检测和标记特定于域的概念的机制将减少标记自由文本文档所需的手动努力。在本文中,我们描述了一种使用基于语法的方法来实现这一点的机制。基于推荐链路的网页排名方法受到严格检查。该方法被投射为该排名方案的语义替代品。

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