Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (14): 133-135.DOI: 10.3778/j.issn.1002-8331.2009.14.040

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Concept network construction mechanism in knowledge warehouse

ZHI Hui-lai1,ZHI Dong-jie2,LIU Zong-tian1   

  1. 1.Dept. of Computer Engineering and Science,Shanghai University,Shanghai 200072,China
    2.Dept. of Computer Science and Technology,Henan Polytechnic University,Jiaozuo,Henan 454150,China
  • Received:2008-03-13 Revised:2008-05-15 Online:2009-05-11 Published:2009-05-11
  • Contact: ZHI Hui-lai

知识库中的概念网络构造研究

智慧来1,智东杰2,刘宗田1   

  1. 1.上海大学 计算机工程与科学学院,上海 200072
    2.河南理工大学 计算机科学与技术学院,河南 焦作 454150
  • 通讯作者: 智慧来

Abstract: Study human language is a way to study concept illustrate and store in human brain.All the concepts in the brain compose of a complex network,in which the concepts of given domain ontology make up a sub-network.When a new concept is studied,its relative concepts will be recalled and studied once more.The learning process of a concept is determined by command degree and forgotten-velocity.After be studied one or several times,one concept can be thoroughly commanded.Human language learning process is well simulated by cellular automata,which illustrates that domain ontology is a useful tool to depict human concept.

摘要: 研究语言学习是研究人类大脑中概念表示和存储的重要途径。大脑中的全体概念形成了一个复杂网络,属于同一领域的概念构成领域本体。当学习一个新概念时,将其插入到概念网络中,同时与之联系的同一领域本体中的相似概念也被再次学习。概念学习的过程由掌握程度和遗忘速率两者共同决定,只有通过一次或数次学习一个概念才真正被掌握,长时间未被学习而遗忘的概念从网络中删除。语言学习过程可以用元胞自动机进行。模拟结果与人们的语言学习经验相符,表明本体是描述概念的有效工具之一。