【摘要】 Internet的迅猛发展,使其日益成为人们查找有用数据的重要来源。一般的搜索引擎是基于关键字的查询,命中率较低,且不能针对特定用户给出特定服务。提出了将自然语言理解技术与Web数据挖掘相结合,根据用户的特殊需求定制个性化的Web数据挖掘系统,给出了面向新闻挖掘这一特定领域的Web挖掘系统News-Miner的应用方案及设计实现。初步实验结果表明该方案是可行的。该方法可方便地扩展到其它专业应用领域。更多还原

【Abstract】 Given the rapid growth of internet, it is increasingly attractive to extract data from these sources. General search enging is based on keywords querying and its accuracy is low. A method of applying nature lauguage understanding technology to Web mining and designing personalize Web mining system to meet the needs of a particular user is proposed. NewsMiner (Web mining system applied to news mining) is such a system. This method can extend to other specific fields easily.更多还原