Abstract: With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. This paper addresses the issues related to data extraction from Web pages, and strongly suggests an XML-based approach for solving it. This paper describes the motivations behind converting semi-structured HTML documents into well-formed XML and presents a portion of conversion source codes that is developed based on HTML Tidy library, illustrates how to extract desired information from Web pages with XML technologies, including XHTML, XSLT and XQuery. It also discusses other aspects in the Web mining project such as data check and data integration.

Key words: Web data mining, XML-based model, Key technologies

摘要： 由于存在着大量的在线信息，WWW成为数据挖掘的热点。该文介绍了Web网页的数据挖掘技术，提出一种基于XML的Web数据挖掘模型，阐述将半结构化HTML文档转换成良构的XML文档的原因，并给出基于HTML Tide库的转换代码，介绍了利用XML技术从Web网页析取数据的关键技术，包括XHTML、XSLT和XQuery等，对Web数据挖掘的其他方面如数据检验和集成作了一定的探讨。

关键词: Web数据挖掘, XML模型, 关键技术

CLC Number: 

• TP311