基于Web的扩张性信息选择方式

Internet上大量、分布、动态的信息造成了“信息超容” ,处理并选择需要的信息工作已经成为一项重要的研究课题 .然而 ,繁多的Web信息检索系统和各种模糊的概念给用户的选择和研究人员的讨论带来了不便 ,本文描述了一种基于已有信息结构的扩张性信息选择方式 ,利用知识处理的方法 ,通过联想 ,对比 ,在Web上选择信息 ,从而实现信息选择的需要 .

Expansive Choose Information Methods Based on Web

A mass of distributed and dynamic information on the Internet has resulted in "information overload".With the flood of information,it has become an important research issue to search and process the information needed.However,various systems and ambiguous terminology of information retrieval on the Web bring much trouble to users in application and to researchers in development as well.This paper introduced a expansive information-picking method based on the information structure existed.To pick the needed information on Web,the anthor use the knowledge process techonlogy.Through association and contraction,the needed information can be achieved.