This paper proposes a unified and automatic approach for extracting Web news object. By extracting the category, title, date, source, author, content, comments, related links and news links in the news pages as category properties, and through page analysis, candidate extraction and true value identification, news object can be extracted automatically. Experimental results show that the method for extracting information of objects multiple properties has high accuracy, and the result does not depend on a specific page template.%提出一种统一的Web新闻对象自动抽取方法.通过抽取新闻页面中的分类、标题、发布时间、来源、作者、内容、相关评论链接和相关新闻链接作为分类属性,经页面解析、候选值抽取、真值识别3个步骤,实现新闻对象的自动抽取.实验结果表明,该方法在同时抽取新闻对象的多个属性方面具有较高的准确性,且抽取结果不依赖于特定的页面模板.
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