一种改进的web文档关键词权重计算方法

In this paper, an improved algorithm, web-based keyword weight algorithm (WKWA), is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of the TF*IDF, TFC and ITC algorithms in order to make it more appropriate for web documents. Meanwhile, the presented algorithm is applied to improved vector space model (IVSM). A real system has been implemented for calculating semantic similarities of web documents. Four experiments have been carried out. They are keyword weight calculation, feature item selection, semantic similarity calculation, and WKWA time performance. The results demonstrate accuracy of keyword weight, and semantic similarity is improved.     

基于Web方式协同远程教学模式和教学环境的实现

随着网络技术和多媒体技术取得了很大的发展 ,远程教学系统趋向 Web化。参与教学活动的成员构成了群体 ,群体成员的交互构成了协同行为。本文利用 CSCW的方法 ,提出和实现了一个基于 Web方式的面向群体的协同工作的远程教学系统。通过这个系统 ,组成学习群体的成员能够很好地进行协同式的教学过程 ,基于 H.32 3和 T.1 2 0协议 ,实现了多媒体现场课程会话。同时提出了课程应用和用户的数据库管理式。本文描述了这个系统的结构模型和实现方法