首页 | 本学科首页   官方微博 | 高级检索  
     

面向文本的本体学习研究概述
引用本文:贾秀玲,文敦伟. 面向文本的本体学习研究概述[J]. 计算机科学, 2007, 34(2): 181-185
作者姓名:贾秀玲  文敦伟
作者单位:中南大学信息科学与工程学院,长沙,410083;中南大学信息科学与工程学院,长沙,410083;阿萨巴斯卡大学计算机与信息系统学院,阿萨巴斯卡加拿大,T9S3A3
摘    要:对本体(ontology)的研究在计算机领域变得越来越广泛,但手工构造本体是一项繁琐而辛苦的任务,还会导致知识获取瓶颈。本体学习技术是利用本体工程技术和机器学习技术等众多学科技术来实现本体的(半)自动构建。本体的学习可以面向文本、知识库、结构化数据、半结构化数据和无结构数据。本文主要介绍了面向文本的本体学习,并对其中的学习内容、学习方法、学习工具、学习过程和系统评价等关键技术进行了说明,特别介绍了学习方法中的基于统计的方法、词汇句法模式法和形式概念分析法并对其优缺点做了简单的分析。

关 键 词:本体  本体学习  知识获取  学习方法  评价方法

A Survey of Ontology Learning from Text
JIA Xiu-Ling,WEN Dun-Wei. A Survey of Ontology Learning from Text[J]. Computer Science, 2007, 34(2): 181-185
Authors:JIA Xiu-Ling  WEN Dun-Wei
Affiliation:1.School of Information Science and Engineering, Central South University, Changsha 410083;2.School of Computing and Information Systems, Athabasca University, Athabasca Canada T9S3A3
Abstract:Research on ontology is increasingly becoming widespread in the computer science community.But the manual construction of ontology is a time-consuming task and easily leads to the bottleneck of knowledge acquisition.Ontology learning aims at the integration of a multitude of disciplines such as ontology engineering techniques and machine learning techniques to construct the ontology(semi)automatically.There are different ontology learning approaches according to the type of input:ontology learning from text,from knowledge base,from structured-data,from semi-structured data and from unstructured data.Ontology learning from text is mainly introduced.The key technologies of ontology learning from text are presented,including learning content,learning approach,learning tool,learning process and system evaluation.Authors especially introduce the statistical method,lexico-syntactic pattern method and formal concept analysis method and simply analyze the advantage and disadvantage of these methods.
Keywords:Ontology  Ontology learning  Knowledge acquisition  Learning method  Evaluation method
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机科学》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