Language-Independent Text Parsing of Arbitrary HTML-Documents. Towards A Foundation For Web Genre Identification

LDV Forum Pub Date : 2005-07-01 DOI:10.21248/jlcl.20.2005.75
Georg Rehm
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引用次数: 7

Abstract

This article describes an approach to parsing and processing arbitrary web pages in order to detect macrostructural objects such as headlines, explicitlyand implicitly-marked lists, and text blocks of different types. The text parser analyses a document by means of several processing stages and inserts the analysis results directly into the DOM tree in the form of XML elements and attributes, so that both the original HTML structure, and the determined macrostructure are available at the same time for secondary processing steps. This text parser is being developed for a novel kind of search engine that aims to classify web pages into web genres so that the search engine user will be able to specify one or more keywords, as well as one or more web genres of the documents to be found.
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任意html文档的独立于语言的文本解析。网络类型识别的基础
本文描述了一种分析和处理任意网页的方法,以检测宏观结构对象,如标题、显式和隐式标记列表以及不同类型的文本块。文本解析器通过几个处理阶段对文档进行分析,并将分析结果以XML元素和属性的形式直接插入DOM树中,这样就可以同时使用原始的HTML结构和确定的宏结构进行二次处理。这个文本解析器是为一种新的搜索引擎开发的,它旨在将网页分类为网络类型,以便搜索引擎用户能够指定一个或多个关键字,以及要查找的文档的一个或多个网络类型。
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