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计算机工程 ›› 2012, Vol. 38 ›› Issue (2): 201-203. doi: 10.3969/j.issn.1000-3428.2012.02.066

• 人工智能及识别技术 • 上一篇    下一篇

一种面向教学的知识点库自动生成方法

冯 筠,李 刚,孙 霞,冯宏伟   

  1. (西北大学信息科学与技术学院,西安 710127)
  • 收稿日期:2011-07-14 出版日期:2012-01-20 发布日期:2012-01-20
  • 作者简介:冯 筠(1972-),女,副教授、博士、CCF高级会员,主研方向:数据挖掘,医学计算机辅助检测;李 刚,硕士;孙 霞,助教、博士;冯宏伟,副教授、硕士
  • 基金资助:
    国家自然科学基金资助项目(60873095);陕西省教育厅自然科学专项基金资助项目“面向领域文本的术语及其关系自动抽取方法研究”(09JK768)

Automatic Generation Method of Teaching-oriented Knowledge Point Library

FENG Jun, LI Gang, SUN Xia, FENG Hong-wei   

  1. (College of Information Science & Technology, Northwest University, Xi’ an 710127, China)
  • Received:2011-07-14 Online:2012-01-20 Published:2012-01-20

摘要: 为解决实际教学过程中教学内容较多的问题,提出面向教学的知识点定义,在基于切分单元的最大匹配算法基础上,结合优化规则进行知识点提取。在知识点的关系提取中,使用关联规则和混合分类方法,用于提高知识点关系提取的正确率。利用获得的知识点及其关系,建立面向教学内容的知识结构图。实验结果表明,该方法适用于中文知识点关系的提取。

关键词: 知识点, 关联规则, 计算机辅助教学, 关系提取, 文本分词, 混合分类方法

Abstract: In order to solve practical teaching in the teaching content, this paper puts forward the definition of knowledge oriented to teaching, and based on the maximal matching algorithm segmentation unit foundation. In the relationship of extract knowledge, combines with the association rules and mixes classification method, and improves the accuracy of knowledge relation extraction. Using the obtained field text knowledge and its relationship, establishes the knowledge structure graph oriented to teaching content. Experimental results show that the method is suitable for extraction of Chinese knowledge point relationship.

Key words: Knowledge Point(KP), association rules, computer aided teaching, relation extraction, text participles, hybrid classification method

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