基于Agent的专业文献智能搜索系统的设计

The design of an agent-based intelligent searching system for subject literatures

给出了一种对专业文献进行搜索的新方法.通过建立初始学科库对各学科文献进行统计、特征提取,并以此为基础系统,通过自学习不断更新学科库,判断是否有新的交叉学科产生.应用这种方法,系统能够按照用户输入的搜索词和所属学科,智能地更新相关学科库,并快速搜索到相应学科的文献.

This paper introduces a new approach that can be used to search subject literatures on the Web. It can count special subject literatures and extract the features from them by the initial subject library. The system can update the subject library continuously and judge the generation of new cross subjects. The system can seek out the special literature quickly according to the input keyword and subject, then update its subject library intelligently.