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基于机器学习的本体概念相似性研究
引用本文:欧灵,张玉芳,吴中福,钟将.基于机器学习的本体概念相似性研究[J].计算机科学,2006,33(11):188-191.
作者姓名:欧灵  张玉芳  吴中福  钟将
作者单位:重庆大学计算机学院,重庆,400044;西南大学计算机科学系,重庆,400715;重庆大学计算机学院,重庆,400044
基金项目:CNGI远程教学公用通信平台系统;国家发改委科学研究基金
摘    要:现有的知识系统使用的是集中式的、一致性的、可扩充的Ontology库,不同本体间的语义匹配是语义网发展面临的最富挑战性的问题之一。本文针对领域中存在不同的Ontology的问题,讨论了一种基于多策略机器学习的Ontology匹配方法,重点分析了本体概念的相似度计算,并提出了一种相似度测量算法。

关 键 词:本体  语义网  匹配  相似

Research on Ontology Concept Similarity Based on Machine Learning
OU Ling,ZHANG Yu-Fang,WU Zhong-Fu,ZHONG Jiang.Research on Ontology Concept Similarity Based on Machine Learning[J].Computer Science,2006,33(11):188-191.
Authors:OU Ling  ZHANG Yu-Fang  WU Zhong-Fu  ZHONG Jiang
Affiliation:College of Computer, Chongqing University, Chongqing 400030; Dept. of Computer Science, Southwest University, Chongqing 400715
Abstract:Current knowledge system is using a centralized, persistent, scalable ontology repository. Mapping between semantic heterogeneous ontologies among semantic Web is becoming an ever more important issue. In this paper, an ontology mapping system is described, which applies multiple classification methods to learn the mapping between ontologies, and then the similarity measuring method between different concepts which belongs to different ontology respectively is analyzed. As a result, the algorithm of similarity measure is brought forward.
Keywords:Ontology  Semantic Web  Mapping  Similarity
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