首页 | 本学科首页   官方微博 | 高级检索  
     

基于动态权值的多策略领域本体概念自动抽取
引用本文:张华楠,刘胜全,刘艳,刘华鹏,李鹏. 基于动态权值的多策略领域本体概念自动抽取[J]. 计算机工程与应用, 2014, 50(21): 152-156
作者姓名:张华楠  刘胜全  刘艳  刘华鹏  李鹏
作者单位:1.新疆大学 信息科学与工程学院,乌鲁木齐 830046 2.新疆大学 现代教育技术中心,乌鲁木齐 830046
基金项目:新疆维吾尔自治区科技攻关项目(No.200931103);新疆大学自然科学基金(No.XY110121)。
摘    要:为了提高中文领域本体概念抽取的自动化程度及准确率,提出了一种基于动态权值的多策略中文领域本体概念自动抽取方法。针对中文领域本体概念的特点,采用自动学习的规则学习模式,筛选出候选概念,将改进的DR&DC、TF-IDF和NC-Value三种策略融合,对候选概念进行领域归属度排序,将最终权重超过阈值的概念存入最终概念集合。实验证明了该方法抽取领域概念的可行性和有效性。

关 键 词:动态权值  本体学习  多策略  概念抽取  

Automatic extraction method of domain ontology concepts based on dynamic weight multi-strategy
ZHANG Huanan,LIU Shengquan,LIU Yan,LIU Huapeng,LI Peng. Automatic extraction method of domain ontology concepts based on dynamic weight multi-strategy[J]. Computer Engineering and Applications, 2014, 50(21): 152-156
Authors:ZHANG Huanan  LIU Shengquan  LIU Yan  LIU Huapeng  LI Peng
Affiliation:1.School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China2.Modern Educational Technology Center, Xinjiang University, Urumqi 830046, China
Abstract:To improve the automation degree and accuracy of Chinese domain ontology concept extraction, a method of concepts automatic extraction based on dynamic weighted multi-strategy integration is proposed. This paper filters out the candidate concepts according to the rule templates using automatic learning; and then improved DR&DC, TF-IDF and NC-Value are integrated; it sequences the degree of domain membership of the candidate concept sets, and puts concepts whose weight exceeds the threshold value into final concept sets. After lots of experiments, the feasibility and validity of this method are proved.
Keywords:dynamic weight  ontology learning  multi-strategy  concept extraction
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号