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EXTRACTING NEWS FROM SERVER SIDE DATABASES BY QUERY INTERFACES

机译:通过查询接口从服务器端数据库中提取新闻

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摘要

Web news has become an important information resource, and we can collect and analyze Web news to acquire desired information. In this paper, an effective and efficient Web-based knowledge acquisition approach is proposed for extracting Web news full content from news site databases using site-side news search engines as query interfaces. We do not crawl the news sites to collect news pages. Instead, we use news search engines affiliated to the news sites to search for the desired news articles directly from the news site databases. We give the search keywords to the search engines and extract the full content of the news articles without the process of machine learning or pattern matching. This approach is applicable to general news sites, and the experimental results show that it can extract a large amount of Web news content from news site databases automatically, quickly, and accurately.
机译:网络新闻已成为重要的信息资源,我们可以收集和分析网络新闻以获取所需的信息。本文提出了一种有效且高效的基于Web的知识获取方法,该方法利用站点侧新闻搜索引擎作为查询界面从新闻站点数据库中提取Web新闻的全部内容。我们不会抓取新闻站点来收集新闻页面。相反,我们使用新闻站点附带的新闻搜索引擎直接从新闻站点数据库中搜索所需的新闻文章。我们将搜索关键字提供给搜索引擎,并提取新闻文章的全部内容,而无需进行机器学习或模式匹配的过程。该方法适用于一般新闻网站,实验结果表明,该方法可以自动,快速,准确地从新闻网站数据库中提取大量Web新闻内容。

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