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面向语义Web的本体学习研究
引用本文:张建文,王强.面向语义Web的本体学习研究[J].科技广场,2006(8):18-20.
作者姓名:张建文  王强
作者单位:东华理工学院电子与机械学院,抚州,344000
摘    要:语义Web的创建需要一套共同的标准概念体系,即本体(Ontology)。本体的构造手段仍然是以手工构造为主,效率和准确率都非常低,很容易导致知识获取的瓶颈。本文给出一个半自动化的需人工干预的本体学习体系结构,采用平衡的协作建模方式来构造语义Web中的本体;介绍了基于以上体系结构的本体学习的处理过程,并讨论了领域概念抽取,概念之间关系的抽取等关键技术。

关 键 词:本体  本体学习  语义Web
文章编号:1671-4792-(2006)8-0096-03

a Study on Ontology Learning for Semantic Web
Zhang Jianwen,Wang Qiang.a Study on Ontology Learning for Semantic Web[J].Science Mosaic,2006(8):18-20.
Authors:Zhang Jianwen  Wang Qiang
Institution:College of Electronics and Mechanical Engineering,East China Institute of Technology, Fuzhou 344000
Abstract:Establishment of Semantic Web requires a set of common standard concept system, namely ontology.Manual ontology construction has low efficiency and accuracy which can easily result in a knowledge acquisitionbottleneck. The article presents a semiautomatic ontology learning architecture with human intervention,adopting the paradigm of balanced cooperative modeling for constructing ontologies for the Semantic Web;introduces the processing cycle, and discusses several key technologies such as domain concepts extraction,concepts relation extraction.
Keywords:Ontology  Ontology Learning  Semantic Web
本文献已被 CNKI 维普 万方数据 等数据库收录!
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