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Study of Web Information Extraction and Classification Method

机译:Web信息提取与分类方法研究

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摘要

In the vast information on the Internet, it is now the key problem that how to download information we need most quickly and expediently, to keep the information in database, and organize it for intending usage. Nowadays, searching engine aims at the different needs of different customers, providing an individualization service, for checking the rate of comprehensions rather than the rate of accuracy. If making it by manual duplicate and stick, we can imagine how the efficiency and cost would be. However, Web information extraction and classification aim to resolve this problem. In this paper, it is discussed that a method how to complete to follow the appointed Web site or Web page according to the user''s request using the technique of ASP, carry on analysis, comparison, sample, and data storage, extract to obtain the information we need from the Web, and organize organically the information adopting classification technique with the Web page contents to provide for later use.
机译:在Internet上的大量信息中,现在的关键问题是如何最快速,最方便地下载我们需要的信息,以将信息保存在数据库中,并按预期用途进行组织。如今,搜索引擎针对不同客户的不同需求,提供个性化服务,以检查理解率而不是准确性。如果通过手动复制和粘贴来进行制作,我们可以想象效率和成本如何。但是,Web信息提取和分类旨在解决此问题。本文讨论了一种使用ASP技术根据用户要求完成对指定网站或网页的跟踪,进行分析,比较,采样和数据存储,提取的方法。从Web上获取我们需要的信息,并采用分类技术将信息与Web页面内容有机地组织起来,以备日后使用。

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